Abstract: The course begins with an insightful overview of PMI Agile Certified Practitioner (PMI-ACP), starting from the application process to exploring the dynamics of PMI Island for exam preparation. It provides a thorough understanding of the PMBOK Guide and compares predictive and adaptive methodologies, tracing the history of Agile and its basic concepts. The course then dives into various Agile methodologies, including Scrum, Extreme Programming, and Kanban, offering a detailed study of each. The course focuses on applying Agile principles in real-world scenarios. It emphasizes value-driven delivery, understanding business value, risk management in Agile projects, and Agile contracting methods. Learners gain insights into stakeholder engagement, adaptive leadership, and building high-performance teams. The course also covers adaptive planning, detecting and resolving problems in Agile environments, and continuous improvement techniques. The course wraps up with a comprehensive review of the essentials for the PMI-ACP exam, ensuring learners are well-prepared to excel in their Agile project management careers. What you will learn Understand PMI-ACP exam structure and application Apply Agile principles in project management Prioritize tasks and manage risks in Agile Develop effective stakeholder engagement strategies Implement continuous improvement in Agile projects Prepare comprehensively for the PMI-ACP exam Audience The course is ideal for professionals aspiring to excel in Agile project management. Basic knowledge of project management practices is recommended. It's perfect for those seeking PMI-ACP certification and wanting to implement Agile methodologies in their projects. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Chris Ward: Chris has been a Technical Instructor for 20+ years with certifications in CompTIA, Microsoft, Cisco and more. Much of his experience has been as a PMP and ITIL℗ʼ Expert/Managing Professional. Chris is a sought-after conference speaker and consultant in ITSM and a published author. Certifications: CompTIA A+, Network +, iNet+, MCSE: Communication, MCSE: Server Infrastructure, CCNP, CWLS, AWLSS, AWLDS, PMP, ITIL℗ʼ Expert v3, ITIL℗ʼ 4 Managing Professional/Strategic Leader, PRINCE2 Practitioner, COBIT 2019 Foundation Lauren Deal: With a decade of in-classroom teaching experience, work as a national television host on the Home Shopping Network, and a background as a talk show producer and host, Lauren Deal possesses a perfect blend of skills and interests in IT. This unique combination makes her an ideal learner advocate for ACI Learning training. She excels in asking clarifying questions related to exam objectives and enthusiastically learns alongside ACI Learning audiences. Additionally, Lauren has been studying the evolving use of AI technology and the development process of Augmented and Virtual Reality. Her certifications include AWS Certified Cloud Practitioner.

Abstract: The course begins with a detailed walkthrough of installing Red Hat Enterprise Linux 8, setting the stage for comprehensive learning. It progresses to cover essential concepts such as effective console usage, managing software updates, and handling software repositories. The course also introduces systemd, automation through Kickstart, and the intricacies of building a Kickstart image for streamlined deployments. The course delves into the critical aspects of network management, including configuring Network Manager CLI, Network Time Protocol, and setting up NFS servers and clients. An in-depth exploration of the file system hierarchy is provided, guiding you through selecting and creating robust file systems and managing volumes using the Logical Volume Manager (LVM). You'll learn to manage SELinux, configure firewalld, secure SSH, and implement LUKS Disk Encryption. The course also covers important tools like the Automatic Bug Reporting Tool and SOS Reports for effective system analysis. Towards the end, the course focuses on performance and log monitoring, providing insights into running and managing virtual machines on RHEL. This comprehensive course equips you with the knowledge and skills to confidently manage and secure Red Hat Enterprise Linux 8 environments, preparing you for advanced roles in system administration. What you will learn Learn to install and configure Red Hat Enterprise Linux 8 Create and modify LVM volumes effectively Implement security protocols and firewalld Secure systems with SELinux and SSH Monitor system performance and logs Run and manage virtual machines on RHEL Audience This course is ideal for IT professionals, system administrators, and technicians keen on enhancing their skills in Linux administration. Familiarity with basic Linux commands and networking concepts is beneficial. This course is suited for those looking to proficiently manage and secure Red Hat Enterprise Linux systems. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Don Pezet: Don Pezet, with over 25 years in IT, brings rich experience from his time as a field engineer in finance and insurance, supporting networks globally. A Linux enthusiast, he's skilled in Red Hat and Ubuntu, and has a long-standing connection with macOS and Apple products since the mid-90s. For the last 15 years, Don has dedicated himself to IT education, co-founding ITProTV in 2012 to provide top-tier IT training. As ACI Learning's CPO, he continues to deliver innovative training to IT professionals. His credentials include Microsoft MCSE, Amazon ACSA, Cisco CCNP, LPI LPIC-2, PMI PMP, and several CompTIA certifications like A+, Network+, Security+, and Linux+. Zachary Memos: Zachary Memos is a show host with 30+ years of on-camera experience. He brings his wit and charm to the camera while helping bring out the best in the ITProTV subject matter experts.

Abstract: The course begins by laying a solid foundation with the basics of installing Linux as a server, guiding you through both initial setup and advanced configurations. It emphasizes the importance of security from the outset, detailing steps for hardening your Linux server against threats and ensuring safe remote access via SSH. The journey continues with configuring system logging, monitoring performance, and navigating networking fundamentals to advanced techniques, providing a holistic view of server management. The course focuses on essential server services and management techniques, including managing DNS with BIND, deploying DHCP and HTTP services, and securing communications with SSL. It also covers database management with MariaDB, offering insights into installation and data handling, and extends into file sharing and web services with Samba, NFS, and FTP/SFTP configurations. These modules not only highlight the technical skills required but also underscore the importance of these services in maintaining a resilient and efficient server environment. The course wraps up by delving into system initialization processes, comparing SysV Init, Upstart, and systemd, ensuring you're well-equipped to manage services and system boot processes.

Abstract: The course begins by introducing you to the world of IoT and its significance in today's tech-driven society, emphasizing the importance of security in this interconnected environment. It covers the spectrum of IoT targets and the necessity of robust security measures to protect them. The course focuses on practical skills, including the use of hardware components like multimeters, TTL to USB, and JTAGulators, as well as software tools such as terminal emulators, Binwalk, and QEMU. You will learn about firmware analysis, including acquisition, extraction, and emulation, alongside techniques for exploiting embedded operating systems, network services, and IoT web applications. The course wraps up by guiding you through hands-on practices for identifying hardware vulnerabilities, automating UART pin identification, and gaining device access, ensuring you have the knowledge to perform comprehensive pentests on IoT devices.

Abstract: The course begins by introducing you to the fundamentals of SSH, the Secure Shell protocol that is crucial for secure remote administration and file transfers. You'll learn how to set up SSH on various operating systems, ensuring you have the foundational knowledge to build secure connections across networks. The course continues as we delve into the use of certificates with SSH, a pivotal skill for enhancing authentication processes and strengthening your network's security posture. By focusing on practical, real-world applications, this section demystifies the complexities of cryptographic keys and certificates. The course wraps up with advanced strategies for hardening SSH, providing you with the expertise to configure, manage, and troubleshoot SSH-enabled devices with an emphasis on security best practices. Through this comprehensive exploration, you'll emerge equipped to navigate the challenges of securing remote access and data communication in today's interconnected digital world.

Abstract: The course begins with a solid foundation in Access Control and Password Management, setting the stage for a deep dive into the intricacies of cybersecurity. It progresses into exploring Active Defense mechanisms and the development of effective Contingency Plans, ensuring you're prepared for any security incident. The journey continues with an exploration of Critical Controls, Basic and Advanced Cryptography, ensuring a well-rounded understanding of key security principles. The course focuses on laying out a Defensible Network Architecture, Endpoint Security, and enforcing Windows and Linux security, providing a detailed look at how to secure modern operating systems and their networks. Through practical examples, you'll learn about Incident Handling and Response, IT Risk Management, and the importance of Security Policies and Virtualization for a robust cybersecurity posture. The course wraps up by covering Web Communication Vulnerabilities, Vulnerability Scanning, and Penetration Testing techniques, equipping you with the skills to identify and mitigate potential threats effectively.

Abstract: The course begins by laying a solid foundation with the installation and configuration of the BIND DNS server, moving on to the intricacies of creating forward and reverse lookup zones, which are pivotal for network navigation and management. It emphasizes the critical role DNS plays in network infrastructure, detailing troubleshooting techniques and ways to enhance mail server support through DNS configurations. It continues with securing BIND using DNSSEC, ensuring data integrity and authentication across the network. The course focuses on web server deployment and management, starting with Apache, which includes virtual server configuration, SSL encryption, and URL redirection, before transitioning to the Squid proxy server setup, user authentication, and access restrictions. It also covers Nginx for web serving and reverse proxy applications, highlighting its flexibility and efficiency. The course wraps up with an exploration of network file sharing and server management using Samba and NFS, DHCP server configuration, OpenLDAP for authentication, Postfix for SMTP services, and secure communications with OpenVPN and SSH. Additionally, it touches on firewall management with iptables, FTP server setup, and the importance of Fail2ban for security.

Abstract: This course not only equips you with the skills to write more efficient and effective scripts but also introduces you to the world of graphical scripting, allowing you to create visually interactive scripts that enhance user experience. From basic text-based menus to sophisticated graphical interfaces using dialog and its widgets, the course offers a comprehensive look at elevating command-line scripts to GUI-based applications, making your scripts more accessible to a wider audience. The exploration doesn't stop there; advanced sed techniques await, revealing the potential within multi-line commands and the intricacies of command negation for complex text processing challenges. Meanwhile, the dive into advanced gawk programming unveils the art of variable management, array handling, and the implementation of structured commands, further broadening your scripting capabilities.

Abstract: This course offers an in-depth exploration of Linux Security Techniques, guiding you through essential security measures to protect Linux environments. Starting with an overview of modern Linux distribution security features, it moves to practical applications such as managing logs with syslog and journald, auditing user passwords, and configuring firewalls for robust protection. Through hands-on examples, you'll learn to audit filesystems, secure services with SELinux, and isolate applications using chroot jails and LXC containers. The course emphasizes the importance of data security, introducing LUKS disk encryption and GPG for data-at-rest security. It concludes with practical network security strategies and essential security testing, including firewall configuration verification and network data encryption analysis with tools like Wireshark and TCPDUMP. This journey equips you with the skills to implement and verify comprehensive security measures, ensuring your Linux systems are safeguarded against evolving threats.

Abstract: The course begins by introducing you to Linux, the powerful operating system that powers most servers and embedded systems worldwide. We explore the significance of Linux in today's tech-driven world, highlighting its use in everything from mobile phones to supercomputers. The journey continues with a deep dive into open-source software, illustrating how it fosters innovation and collaboration in the tech community. The course focuses on the Linux family tree, detailing the relationships and differences between distributions such as Debian, Ubuntu, RHEL, and CentOS. This section is vital for understanding the landscape of Linux distributions and selecting the right one for your needs. We also cover essential considerations for selecting compatible hardware, ensuring you can build or choose a system that runs Linux flawlessly. The course wraps up with practical skills, including installing Ubuntu and CentOS, using productivity suites, and navigating the Linux filesystem. You'll learn the basics of the terminal and shell, discover how to install software across different distributions, and manage user accounts and permissions. These skills are crucial for anyone looking to thrive in a tech environment powered by Linux.

Abstract: Perplexed by concurrency? Don’t be. This engaging, fully-illustrated beginner’s guide gets you writing the kind of high-performance code your apps deserve. Inside, you’ll find thorough explanations of concurrency’s core concepts—all explained with interesting illustrations, insightful examples, and detailed techniques you can apply to your own projects. Grokking Concurrency is a perfectly paced introduction to the fundamentals of concurrent, parallel, and asynchronous programming. In it, you’ll learn the practices you’ll need to program multicore processors, GPUs, and other high-performance systems. Author Kirill Bobrov skips the math, jargon, and academic language and concentrates on clear, plain-English explanations.

Abstract: Cloud Observability in Action gives you the background and techniques you need to successfully introduce observability into cloud-based serverless and Kubernetes environments. In it, you’ll learn to use open standards and tools like OpenTelemetry, Prometheus, and Grafana to build your own observability system and end reliance on proprietary software. You’ll discover insights from different telemetry signals, including logs, metrics, traces, and profiles. Plus, the book’s rigorous cost-benefit analysis ensures you’re getting a real return on your observability investment.

Abstract: Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges of scaling machine learning systems. Inside Distributed Machine Learning Patterns you’ll learn to apply established distributed systems patterns to machine learning projects—plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. Distributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you’ll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You’ll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes.

Abstract: GenAI and LLMs on AWS Learn to build machine learning pipelines leveraging large language models on AWS for natural language processing and generative AI. In this hands-on course, you will gain skills to: * Set up cloud-based Rust development environments * Construct serverless workflows with AWS Lambda and Step Functions * Generate text and code with models like Claude and CodeWhisperer * Orchestrate models and data workflows with Amazon Bedrock * By completing real-world coding projects, you will be prepared to operationalize LLMs for machine learning applications. Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: The course begins by laying a solid foundation with an overview of capacity planning, ensuring you understand how to measure and optimize system resources effectively. It then dives into the technicalities of monitoring CPU, memory, disk, and network activity, crucial for maintaining system health and performance. The course focuses on deepening your understanding of Linux's core, including kernel components, modules, and the intricacies of compiling a kernel. You'll learn how to monitor and manage the kernel for peak efficiency, alongside exploring systemd and SysV init systems for better process management. Additionally, system recovery techniques, fstab configuration, and managing swap partitions are thoroughly covered to ensure system resilience. The course wraps up with practical skills in managing storage solutions, network configurations, and troubleshooting, alongside essential system administration tasks such as installing programs from source and effective backup strategies.

Abstract: The course begins with the basics of terminals and shells, setting the foundation for interaction with Linux at a fundamental level. It progresses to cover essential commands for navigating the filesystem and managing files, ensuring students can efficiently organize and manipulate data within the Linux environment. The journey continues through advanced topics such as process management, storage optimization, and package management across Debian and Red Hat systems, ensuring a well-rounded skill set. The course focuses on practical skills, including installing software from source, navigating text editors like vi, vim, and nano, and managing environment variables and file permissions. It emphasizes the importance of these skills in real-world scenarios, illustrating how they contribute to effective system administration and development practices. The course wraps up by exploring file systems, locating files, and utilizing other useful commands that streamline daily tasks. By the end of this course, students will have navigated through the most significant aspects of the Linux command line, equipped with the knowledge to apply these skills in a professional setting.

Abstract: This course begins by introducing you to the basics of terminals and shells, laying a solid foundation for command line proficiency. It methodically progresses through executing commands, offering three parts to ensure a thorough grasp of command functionalities and nuances. The course focuses on enhancing your Linux skills further with detailed explanations on filesystem management, permissions, and file editing with Vi, ensuring you can navigate and manipulate the Linux environment with ease. It covers essential topics such as finding files, managing processes, and executing scripts, providing you with the tools needed to optimize and automate your Linux tasks. The course wraps up by delving into advanced programming constructs, presented in two comprehensive parts to solidify your scripting and automation capabilities. Each section is designed to build on the previous, ensuring a seamless learning curve from beginner to advanced techniques. By the end of this course, you will have learned the art of leveraging Linux for powerful, efficient computing, making you an invaluable asset in tech-driven environments.

Abstract: The course begins with an introduction to Linux, offering insights into its importance and widespread use in today's tech-driven world. You'll learn why Linux is the backbone of many servers, devices, and systems, and how its open-source nature fosters innovation and customization. The course focuses on choosing a Linux distribution, guiding you through the myriad of options available and helping you select the one that best fits your needs. This segment is crucial for understanding the diversity within the Linux ecosystem and how it caters to different user preferences and requirements. Next, we delve into choosing a desktop environment, emphasizing the significance of the user interface in your day-to-day interaction with Linux. You'll explore popular desktop environments, their features, and how to select one that aligns with your usability and aesthetic preferences. The course wraps up with a detailed walkthrough on installing software on Linux, covering various package managers and installation methods. This section is designed to equip you with the skills to extend the functionality of your Linux system and customize it to your liking.

Abstract: Responsible Generative AI and Local LLMs Learning Generative AI During Live Coding This video series covers mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax. Lessons covered include: Profit Sharing Concepts Tragedy of the Commons Game Theory and Generative AI Perfect Competition Negative Externalities Fine-tuning Mistral with Ludwig Getting Started with llamafile Hello World in Candle Exploring Rust and Candle Transcribing Audio with Whisper Rust for LLMs Learning Objectives Learn about responsible and ethical uses of generative AI Getting hands-on with local LLMs like Mistral, llamafile, Candle, and Lorax Learning to build solutions by coding along during tutorials Learning the key syntax and features of the Rust Language Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: This intensive program is designed for both beginners eager to dive into the world of data science and seasoned professionals looking to deepen their understanding of machine learning, deep learning, and TensorFlow's capabilities. Starting with Python—a cornerstone of modern AI development—we'll guide you through its essential features and libraries that make data manipulation and analysis a breeze. As we delve into machine learning, you'll learn the foundational algorithms and techniques, moving seamlessly from supervised to unsupervised learning, paving the way for the magic of deep learning. With TensorFlow, one of the most dynamic and widely-used deep learning frameworks, we'll uncover how to craft sophisticated neural network architectures, optimize models, and deploy AI-powered solutions. We don't just want you to learn—we aim for you to master. By the course's end, you'll not only grasp the theories but also gain hands-on experience, ensuring that you're industry ready. Whether you aspire to innovate in AI research or implement solutions in business settings, this comprehensive course promises a profound understanding, equipping you with the tools and knowledge to harness the power of Python, Machine Learning, and TensorFlow.

Abstract: Dive into the dynamic world of web development with our comprehensive course catering to both beginner and intermediate learners. It's a deep dive into the fundamental principles of PHP, one of the most popular server-side scripting languages. The journey begins with an introduction to PHP, paving the way for essential tools such as the installation of XAMPP SERVER and an exploration of PHP syntax. Our step-by-step approach ensures a solid foundation, paving the way for more advanced concepts. Dive into the heart of PHP by tackling crucial topics such as data types, variables, and operators. Understand the importance of constant variables, arithmetic, assignment, and logical operators in PHP programming. This section is essential for mastering the syntax and logic of the language. The course then transitions into the 'Basics of PHP', where learners engage with conditional statements (If, Else If), loops (While, Do While, For), and the construction of functions. These elements are vital in building dynamic and responsive web applications. Additionally, the module on 'Types of Strings' offers insights into efficient data handling and manipulation. A significant portion of the course is dedicated to 'Array Methods'. Here, you'll learn about array manipulation techniques including count, sizeoff, searching, replacing, slicing, splicing, and more. These skills are indispensable for data management in PHP. 'POST and GET' methods form the backbone of data submission and retrieval in web forms. Our focused sessions on form validation using GET, POST methods, and handling input types like radio buttons, equip you with the skills to manage user inputs securely and effectively. MySQL integration is another cornerstone of this course. You'll gain expertise in MySQL database management, table structure, configuration, and executing basic to advanced database operations. The course culminates in a project-based module, 'Queries and Project', where you'll apply your skills in real-world scenarios. This includes database updates, form UI design, database connections, and user data management. This course empowers you with the knowledge and skills to excel in PHP and MySQL, opening doors to numerous opportunities in web development.

Abstract: Welcome to this immersive course designed to take you from a basic understanding to a proficient level in using Git and GitHub, two of the most essential tools in modern software development. This course begins by laying a solid foundation with an introduction to the core concepts of version control, the significance of Git and GitHub in the development world, and the differences between them. We dive into why these tools are indispensable for developers, ensuring even absolute beginners grasp the basics. We then progress to practical aspects, guiding you through installations and account setups. You'll learn how to install Git, set up a GitHub account, and configure necessary tools like Visual Studio Code. This practical approach ensures you're not just learning concepts but also applying them in real-world scenarios. The heart of the course lies in mastering the basics of GitHub. You'll explore how to create and manage repositories, understand branching, make pull requests, address issues, and more. We also delve into the Git Command Line Interface (CLI), teaching you essential commands and how to use Git for effective version control. Advanced topics are not left out. We'll introduce you to GitHub Desktop, Git Bash, GitHub Extensions, and the innovative GitHub Copilot. By the end of this course, you'll have a comprehensive understanding of Git and GitHub, equipped to handle code in a collaborative environment with ease and confidence. Whether you're a beginner programmer, a project manager, or just passionate about coding, this course will provide the knowledge and skills necessary to excel in your coding journey.

Abstract: Whether you're a beginner eager to delve into the realm of 3D design, or an experienced professional aiming to enhance your skills, this course offers a wealth of knowledge and practical insights to elevate your proficiency. Kick-start your learning experience with an insightful introduction to AutoCAD 3D, where you will unravel the differences between 2D and 3D design, and grasp the fundamental concepts that underpin 3D modeling. As you progress to setting up your workspace, you will learn to customize the user interface, optimize display settings, and understand the coordinate system, ensuring a smooth and efficient design process. Dive deep into creating basic and advanced 3D objects, exploring a myriad of tools and techniques that bring your designs to life. From box and sphere to intricate gears and bolts, you'll master the art of 3D object creation and modification. The course also shines a spotlight on 3D house modeling, providing step-by-step guidance on designing architectural elements, applying materials and textures, and incorporating lighting for a touch of realism. Furthermore, you'll unlock the secrets to impeccable documentation and presentation, generating 2D drawings from your 3D models, annotating, dimensioning, and creating stunning renderings and walkthrough animations. This comprehensive course ensures you're well-equipped with the skills and knowledge to excel in the field of 3D design and modeling, paving the way for endless possibilities and career advancement.

Abstract: Welcome to this comprehensive beginner's course designed to unlock your creative potential in the realm of 3D design. Throughout this course, you will be introduced to the fundamentals of 3D design, the layout and functionality of SketchUp, and the techniques necessary to transform your ideas into digital reality. You will engage in hands-on projects, encouraging you to apply learned concepts while cultivating a robust understanding of SketchUp's tools and applications. By the end of this course, you will not only grasp the essentials of SketchUp but also gain the confidence to explore more complex design challenges. You will develop a strong foundation that will serve as a stepping stone towards more advanced 3D modeling techniques. So, whether you are an aspiring architect, an interior designer, a game developer, or someone who loves to create, this course offers a fun, flexible, and comprehensive approach to 3D modeling. Let's start modeling!

Abstract: One month. One hour a day. That's all it takes to start writing Rust code! Learn Rust in a Month of Lunches teaches you to write super fast and super safe Rust code through lessons you can fit in your lunch break. Crystal-clear explanations and focused, relevant examples make it accessible to anyone--even if you're learning Rust as your first programming language. By the time you're done reading Learn Rust in a Month of Lunches you'll be able to: Build real software in Rust Understand messages from the compiler and Clippy, Rust's coding coach Make informed decisions on the right types to use in any context Make sense of the Rust standard library and its commonly used items Use external Rust "crates" (libraries) for common tasks Comment and build documentation for your Rust code Work with crates that use async Rust Write simple declarative macros Explore test driven development in Rust Learn Rust in a Month of Lunches is full of 24 easy-to-digest lessons that ease you into real Rust programming. You'll learn essential Rust skills you can use for everything from system programming, to web applications, and games. By the time you're done learning, you'll know exactly what makes Rust unique--and be one of the thousands of developers who say it's their best loved language! About the Technology Learn how to create fast powerful programs in Rust in just 24 short lessons! Rust gives you modern features like a top-notch compiler, a rich ecosystem of pre-built libraries, and the same low-level performance you get with a language like C, but without the awkward syntax, complex memory management, and code safety concerns. This book guides you step by step from your first line of code. About the Book Learn Rust in a Month of Lunches breaks down the Rust language into concise hands-on lessons designed to be completed in an hour or less. The examples are fun and easy to follow, so you'll quickly progress from zero Rust knowledge to handling async and writing your own macros. You won't even need to install Rust--the book's code samples run in the browser-based Rust Playground. There's no easier way to get started! What's Inside Build working Rust software Understand messages from the compiler and Clippy Use external Rust "crates" (libraries) for common tasks Explore test driven development in Rust About the Reader No previous experience with Rust required. About the Author Dave MacLeod was an educator, Korean-English translator, project controller, and copywriter before becoming a full-time Rust developer. The technical editor on this book was Jerry Kuch. Quotes Breaks the journey down into manageable parts, teaching in small increments and making consistent progress. If you've put off learning Rust, this is the book for you! - Luca Palmieri, Mainmatter Covers all you need to start programming in Rust. - Jonathan Reeves, Wolfjaw Studios Simple language and a great pace. Easy-to-understand examples cover key language concepts. It's everything you need to know to get going. - Steve Fenton, Octopus Deploy Unlock your potential as a Rust programmer with this exceptional guide. - Srikar Vedantam, Volvo Group.

Abstract: Bootstrapping Microservices, Second Edition is your microservices mentor. It teaches you to use industry-standard tools to create a working video streaming application from the ground up. You'll learn the pillars of cloud-native development, including Terraform for configuration, Docker for packaging, and a basic Kubernetes deployment. Plus, this second edition includes coverage of GitHub Actions, continuous delivery, and Infrastructure as Code.

Abstract: Acing the System Design Interview is a masterclass in how to confidently nail your next interview. Following these easy-to-remember techniques, you’ll learn to quickly assess a question, identify an advantageous approach, and then communicate your ideas clearly to an interviewer. As you work through this book, you’ll gain not only the skills to successfully interview, but also to do the actual work of great system design.

Abstract: This course is meticulously designed to take you on a transformative journey from the rudiments of React.js and JavaScript to crafting a fully functional e-commerce website. E-commerce has reshaped the world of business. As the digital era evolves, the need for skilled developers capable of creating robust online platforms becomes imperative. This course aims to bridge the knowledge gap, blending the world of e-commerce with the technical prowess of React.js, a leading JavaScript library known for its efficiency and flexibility. We commence by demystifying e-commerce's essence, highlighting how React.js can serve as a powerhouse for online retail solutions. For those new to React or needing a refresher, our foundational modules provide a concise dive into essential JavaScript constructs, ensuring a sturdy base. Transitioning to more advanced territory, we delve into React's intricate functionalities—mapping, filtering, and the distinction between JavaScript and JSX. Crucially, React Hooks—a pivotal aspect of modern React development—will be unraveled, focusing on useState and useEffect to instill dynamic capabilities into your applications. The course crescendos into its practical phase, where you'll piece together an e-commerce platform. Each segment, from crafting intricate navigation systems to designing a responsive shopping cart and integrating a secure login mechanism, is taught through hands-on exercises, ensuring theoretical knowledge is always complemented by practical application. Whether you're an aspiring web developer, a business-minded individual eyeing the vast landscape of online commerce, or simply someone seeking to expand their skill repertoire, this course promises a comprehensive learning experience. By its conclusion, you'll not only wield the knowledge of React.js intricacies but also possess a tangible e-commerce platform prototype, a testament to your hard work and ready for further refinement and deployment.

Abstract: In today's digital world, mobile apps have become an integral part of our daily lives, driving the need for proficient mobile app developers. This comprehensive course is tailored to both beginners and experienced developers, providing a deep dive into the world of React Native. Begin your journey by unraveling the nuances of app development, distinguishing between app and web landscapes, and understanding the pivotal role of React Native in the current tech arena. Dive deeper to uncover the heart of React Native, including its core concepts, file structures, and vital components. JavaScript is the backbone of React Native, and we'll ensure you gain a robust understanding. Whether it's basic constructs like variables and operators or advanced functionalities like map and filter, this course has got you covered. But what's an app without aesthetics and user experience? Learn the art and science of styling in React Native. Delve into various styling methodologies, layout techniques, and the critical aspect of app navigation. By the end of this course, not only will you be equipped with the knowledge to build dynamic apps, but you'll also have a keen sense of design and navigation, ensuring your apps are both functional and user-friendly. Whether you're aiming for a career transition, enhancing your current skills, or nurturing a hobby, this course is your gateway to mobile app mastery.

Abstract: Harness the potential of extracting web data with our detailed course on Web Scraping using Beautiful Soup in Python. Begin your journey with an introduction to the basics of web scraping. Learn why Python and its robust library, Beautiful Soup, are favorites among developers and data enthusiasts. Immerse yourself in the details of HTML structures, learning to identify and navigate through various HTML tags and mastering CSS selectors to precisely extract the data you need. Take advantage of the Requests library for easy and effective management of HTTP requests, simplifying the process of web content retrieval. Advance your skills with hands-on experience in Beautiful Soup, covering everything from fundamental parsing to sophisticated data extraction methods. Practical application is key. Our course offers numerous real-world projects, giving you the chance to apply your skills in different settings, including tracking eBay prices, extracting top hits from Billboard, sourcing movie recommendations from IMDB, and keeping an eye on Bitcoin prices. Complete this course with the ability to effortlessly scrape web data and turn it into valuable insights.

Abstract: Introduction to LLM vulnerabilities This introductory course on vulnerabilities for Large Language Models (LLMs) and language models in general. It provides a deep dive into the practical applications of large language models (LLMs) using Azure's AI services. Upon completion, learners will be able to: Explain the concept of model replication or model shadowing as a potential attack vector in large language models, and describe methods to mitigate it through techniques like rate limiting and buffering. Analyze the potential benefits and limitations of using pre-trained LLMs Develop strategies for mitigating risks and ethical considerations when deploying LLM-powered applications. Describe the high-level process of creating a large language model, including data collection, cleaning, and training. Explain the role of security in large language models and recognize potential security vulnerabilities and attack vectors. Identify insecure plugin designs in large language model software development kits (SDKs) that could lead to remote execution and implement strategies to secure plugins. You will learn how to secure your large language model (LLM) applications by addressing potential vulnerabilities. You will explore strategies to mitigate risks from insecure plugin design, including proper input validation and sanitization. Additionally, you will discover techniques to protect against sensitive information disclosure, such as using a redaction service to remove personally identifiable data from prompts and model responses. Finally, you will learn how to actively monitor your application dependencies for security updates and vulnerabilities, ensuring your system remains secure over time. Week 1: Foundations of Language Models This week you will get a brief overview of LLMs and how do they work Learning Objectives Analyze common types of generative applications and their architectures, including multi-model applications, and understand their challenges and benefits. Explain the functioning of a multi-model application, including the role of the framework and specialized machine learning models. Identify the advantages of smaller, specialized models in terms of resource usage, interaction speed, and deployment agility. Compare and contrast different generative AI application types, such as API-based, embedded models, and multi-model applications, and understand their use cases and challenges. Recognize the importance of large language models in various real-world applications, including text-based chatting, customer service, content creation, and daily tasks. Evaluate the benefits and drawbacks of large language models, considering aspects like accuracy, privacy, and potential misuse. Understand the basics of tokenization, indexing, and probability machines in the context of large language models. Describe the high-level process of creating a large language model, including data collection, cleaning, and training. Explain the role of security in large language models and recognize potential security vulnerabilities and attack vectors. Week 2: Language Model Vulnerabilities This week focuses on model-based vulnerabilities that you can explore with prompts. Learning Objectives Explain the concept of model replication or model shadowing as a potential attack vector in large language models, and describe methods to mitigate it through techniques like rate limiting and buffering. Identify and demonstrate insecure output handling in large language models, and understand the potential security threats and attack vectors associated with it. Understand prompt injection and its implications for large language models, including how certain applications define the initial behavior of these models and how to exploit implicit system prompts. Recognize model theft vulnerabilities and understand how handling and access to system components can impact model security, particularly in the context of dynamically loaded models from external sources. Week 3: System vulnerabilities This week you will learn how to deal with environments and system-based vulnerabilities as they relate to LLMs. Learning Objectives Identify insecure plugin designs in large language model software development kits (SDKs) that could lead to remote execution and implement strategies to secure plugins. Explain the potential risks of sensitive information disclosure in large language models and implement measures to redact personal identifiable information using HTTP APIs and regular expressions. Monitor and update dependencies in large language model applications to prevent potential security vulnerabilities and automate the process using tools like GitHub's Dependabot. Evaluate application vulnerabilities based on the programming language and framework, and implement measures to prevent potential security threats. Week 4: Other types of vulnerabilities Learning Objectives Identify potential security threats and vulnerabilities associated with large and small language models. Implement strategies to prevent security situations and guard against making environments more secure. Recognize the concept of excessive agency in large language models and its potential impacts on functionality. Explain the denial of service threat for large language models and describe methods to guard against API misuse.% About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to understand and work with vulnerabilities within language models. Resources Introduction to Generative AI Responsible Generative AI and Local LLMS Practical MLOps book.

Abstract: Dive into the essentials of network infrastructure with our meticulously structured video course, "Network Fundamentals." This course starts by grounding you in the foundational concepts of network infrastructure, exploring various network types and topologies. As you progress, you'll uncover the intricacies of both wired and wireless networks, learn about the role of demarcation points, and delve into the complexities of wide and virtual private networks. The course seamlessly transitions into network hardware, introducing you to critical components like switches and routers, and explains their functions and interconnections. You'll gain practical skills in building and managing robust networks, supported by an understanding of network protocols, services, and addressing, including both IPv4 and IPv6. The journey concludes with hands-on tutorials on essential network commands and tools, enhancing your troubleshooting skills. This course not only educates but also prepares you to effectively design, secure, and manage network systems in any business environment.

Abstract: This course provides an extensive preparation path for the Systems Security Certified Practitioner (SSCP) exam, catering specifically to IT administrators, managers, and security professionals. Starting with a robust understanding of the SSCP's significance and framework, participants will dive into detailed explorations of security operations, administration, risk management, and more. Each module focuses on practical applications and theoretical knowledge necessary to maintain a secure IT infrastructure. From security controls and compliance to advanced access management and risk assessment strategies, the course builds a foundational and advanced understanding, ensuring readiness for the SSCP exam and real-world applications. The structured content is designed to sequentially build competence and confidence in handling security-related tasks effectively.

Abstract: Embark on a detailed journey through the realms of Information Systems (IS) auditing with our "CISA: Certified Information Systems Auditor" course. This course thoroughly covers the five domains outlined by ISACA, ensuring a complete understanding of the essential components required for the CISA exam. It begins with an overview of the IS auditing process, including standards, guidelines, and ethical practices, before diving into the governance and management of IT. The course also explores the nuances of information systems acquisition, development, implementation, operations, and the pivotal business resiliency necessary for modern enterprises. Throughout your learning experience, you'll engage with practical scenarios that demonstrate auditing practices, risk management, and control assessments. The course also includes in-depth discussions on emerging technologies such as cloud computing and virtualization, and their impact on IS auditing. By providing tools and strategies to effectively study and understand the material, this course serves as both an educational resource and a practical guide to prepare for the CISA certification.

Abstract: The "AWS Certified Big Data - Specialty" course offers a comprehensive journey through the landscape of big data on AWS, designed to empower you with the skills needed to master the platform's data handling capabilities. Beginning with an understanding of the basics of data collection via innovative AWS services like Kinesis & IoT, this course meticulously guides you through the various stages of data management, including secure storage options like S3 and DynamoDB, and robust data processing technologies such as EMR, Lambda, and Glue. As you delve deeper, you'll explore advanced analytical tools like Athena and Redshift, learning how to query and manipulate large data sets efficiently. This detailed exploration is complemented by practical insights into data visualization techniques using QuickSight, helping you turn complex data into actionable insights. Moreover, the course covers essential security practices necessary for protecting data, with in-depth sessions on using IAM and KMS to manage access and encryption. Real-world applications and case studies demonstrate the theoretical concepts and help the participants understand how they are applied in practical scenarios. This approach prepares you for the certification while also equipping you with the knowledge to implement what you have learned in real-world job settings.

Abstract: The "AWS Certified Cloud Practitioner CLF-C02" course is meticulously crafted to provide both technical and non-technical professionals with a solid foundation in AWS cloud services. This comprehensive course starts with an overview of cloud concepts, essential AWS services, and common billing and pricing strategies, ensuring a broad understanding of what the cloud can offer. As you progress, the course delves into detailed explorations of EC2, Lambda, S3, EBS, VPC, and RDS, coupled with practical applications of security best practices and cost management. The journey through this course is designed to build your confidence in using AWS tools effectively, with a focus on achieving the AWS Cloud Practitioner certification. Moreover, the course discusses the implications of cloud on IT infrastructure and explores innovative cloud technologies and security frameworks, helping you to understand how to make informed decisions in a cloud environment. The final sections of the course ensure that you are well-versed in advanced topics such as cloud deployment models, connecting to the cloud, and the expansive AWS infrastructure. This strategic progression equips you with the knowledge needed to navigate the complexities of cloud technology and prepares you for practical challenges in your career.

Abstract: Unlock the full potential of Windows Terminal with our in-depth video course, designed for both beginners and seasoned IT professionals. Starting with an introduction to Windows Terminal and its significance as the new default terminal application for Windows, this course dives deep into all aspects of Windows Terminal. You will learn about installation methods, startup and interaction settings, appearance customization including color schemes, and the creation of custom keyboard shortcuts through actions. The course also explores advanced features such as configuring and managing multiple profiles and using panes to run several shells in a single tab. Whether you're looking to streamline your workflow, enhance productivity, or simply bring a touch of personality to your terminal with a retro command prompt, this course covers it all. As you progress, you'll see how these settings and features can be applied to real-world scenarios, giving you the practical skills and knowledge to tailor your terminal environment precisely. This journey will transform your command line experience, making it more powerful and enjoyable.

Abstract: The "Introduction to AWS Pentesting" course offers a detailed exploration into the specialized field of penetration testing within Amazon Web Services (AWS), providing a strategic blend of policy understanding, technical insights, and hands-on techniques. Beginning with a crucial overview of AWS Pentesting Policy, the course outlines the legal landscape, guiding participants on what is permissible in the realm of AWS security testing. This foundational knowledge is vital for conducting responsible and effective penetration testing activities. As participants progress through the series, they delve deeper into the mechanics of AWS, with specific episodes dedicated to understanding and exploiting vulnerabilities in key services such as IAM, S3, EC2, and Lambda. In addition to technical skills, the course fosters a comprehensive understanding of AWS resource naming with ARNs, enhancing the ability to navigate and manipulate AWS architecture for security testing purposes. By the end of the series, participants will not only be prepared to spot and mitigate security risks but also to leverage AWS features and tools to strengthen infrastructure against future threats.

Abstract: The "AWS Certified DevOps Engineer - Professional" course is designed to deepen your technical expertise in managing distributed application systems on the AWS platform. This advanced training covers the entire spectrum of DevOps methodologies, including continuous integration, continuous delivery, and infrastructure as code, providing a robust foundation for implementing and managing dynamic, automated environments. Starting with an overview of the AWS DevOps environment, the course progresses through detailed discussions and hands-on practice with AWS tools like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline, teaching you to manage complex workflows and optimize deployment processes. You'll learn how to use Elastic Beanstalk for easy application deployment, manage Docker containers, and orchestrate applications with ECS and CloudFormation. Instructors guide you through setting up real-world scenarios, demonstrating how to integrate various AWS services to create highly efficient DevOps pipelines. This course not only prepares you for the AWS Certified DevOps Engineer - Professional exam but also equips you with the practical skills necessary to implement the lessons learned directly into your workplace.

Abstract: Embark on a transformative journey with our "AWS Certified Solutions Architect – Associate" course, meticulously crafted to prepare you for the AWS Solutions Architect - Associate exam. This course dives deep into the essentials of designing scalable, resilient, and cost-efficient solutions on AWS, employing the Well-Architected Framework as a guide. Through a structured curriculum, you'll explore crucial concepts such as EC2, S3, VPC, and Route 53, among others, gaining an understanding of how to architect and implement AWS services effectively. The course begins with an overview of cloud-native design principles, setting the stage for more complex discussions on identity management, networking, and compute services. Each section builds on the last, with a focus on practical application, preparing you for scenarios you will face both in the exam and in real-world applications. By the end of this course, you will be well-equipped not only to pass the AWS certification exam but also to design AWS solutions that are robust, secure, and aligned with business needs.

Abstract: This video series covers key concepts and technologies for virtualizing and containerizing applications. It introduces the benefits of virtualization, compares virtual machines and containers, and provides a deep dive into working with Docker containers. Through live demonstrations, you'll learn to create and manage virtual machines, pull Docker images, and run containerized applications.

Abstract: This comprehensive course teaches you to leverage the power of cloud computing to develop production-ready machine learning solutions. Starting with the fundamentals of cloud storage, security, and infrastructure as code, you will gain a solid foundation in cloud computing concepts. The course then dives into serverless machine learning, teaching you to build and deploy ML models using popular cloud AutoML platforms like Google AutoML, Amazon SageMaker, Microsoft Azure ML, and CreateML. Through hands-on labs, you'll learn to train custom models with just a few lines of configuration, without needing deep ML expertise. Next, the course explores serverless technologies like AWS Lambda, Google Cloud Functions, and Azure Functions to cost-effectively operationalize your ML models at scale. You'll learn to expose your AutoML models as serverless microservices, automatically scaling to handle any load. The course also covers serverless data processing and ETL to build complete ML pipelines. Finally, you'll learn to apply DevOps best practices to your serverless ML applications using continuous integration and delivery (CI/CD), infrastructure as code, monitoring, and containerization technologies like Docker and Kubernetes. By the end, you'll have the skills to build highly scalable end-to-end machine learning solutions leveraging the latest cloud AutoML and serverless technologies.

Abstract: Interactive Technical Projects A weekly updated series of tutorials on interactive technical projects Learning Objectives Learn practical skills by building real-world projects with cutting-edge technologies Learning to build full stack solutions with languages like Rust, Python, LLMs and Data Science Learning the key tools and techniques used by industry experts to create robust applications Get hands-on practice applying your core technical knowledge Understand how all the pieces fit together by building projects end-to-end Troubleshoot bugs and solve complex problems that appear in production systems Expand your portfolio and r©♭sum©♭ with impressive projects Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: MySQL for Data Engineering Learning Linux Hacker Style Coding Description: Extract MySQL data through queries and bash pipelines Dump query results to CSV files. Build web services to serve data with Python standard library Analyze and process extracts with Linux utilities Chain MySQL, Python, and Linux together for quick data tasks Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: Join Neal Ford and Zhamak Dehghani for a discussion about the challenges of creating, sharing, and finding data and making your data work for you. With the rise of generative AI, companies need to manage large quantities of data and are looking at distributed data systems and data mesh to solve this challenge. The problem consists in getting from their existing data storage to a distributed data system that works for all stakeholders. As the originator of the concept of data mesh, and because of her ongoing work with scaling decentralized data, Zhamak is well positioned to provide updates and advice on this more holistic approach to data management. What's New in Software Architecture gives you a chance to explore trending topics in software architecture and to ask Neal and Zhamak Dehghani anything you want about data mesh, how to begin making the move to decentralized data, and their own career journeys. We will spend a few minutes covering the trends that are influencing software architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what a data mesh is and how it differs from other methods of storing and sharing data Learn the key data characteristics you need to be a data-led organization Explore the tools that can help you make the move to data mesh This live course is for you because... You want to hear from Neal Ford and Zhamak Dehghani about software architecture and data mesh. Recommended Follow-Up: Read Building an Event-Driven Data Mesh (book) Read Data Mesh (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

Abstract: The course begins with an exploration of fundamental concepts in information security and incident management, covering topics such as Vulnerability Management, Threat Assessments, Risk Management, and the NIST RMF. The course guides you through the incident handling process, from preparation to post-incident activities. Learn how to prepare for incident handling, record and assign incidents, perform incident triage, and handle notifications effectively. The curriculum covers incident containment, evidence gathering, forensic analysis, eradication, recovery, and post-incident activities. Gain hands-on experience with ethical hacking tools and techniques, preparing you to address real-world cybersecurity challenges. The course explores various security incidents, including network security, unauthorized access, inappropriate usage, denial-of-service, and web application security incidents. Additionally, delve into cloud security, insider threats, and essential security checks. Upon course completion, you'll possess critical security analysis and incident response skills, equipping you to identify, address, and prevent complex cyber threats effectively. What you will learn Develop a deep understanding of the incident handling process from preparation to post-incident activities Gain practical experience in digital evidence collection and forensic analysis Effectively manage various security incidents, including malware, network, and web application security incidents Grasp essential cloud security concepts and best practices Identify and mitigate insider threats effectively Utilize tools like OSForensics, Wireshark, and NMAP for cybersecurity tasks Audience This course is suitable for cybersecurity professionals, ethical hackers, incident responders, and individuals seeking to enhance their cybersecurity skills. A basic understanding of information security concepts is recommended. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Adam Gordon: Adam Gordon has 30+ years as an IT instructor in the private and public sectors. He holds more than 160 IT certifications. He has trained thousands of IT pros over the course of his career. He has over 160 professional and IT certifications. Daniel Lowrie: After working professionally as a systems administrator and as a network administrator, Daniel switched to IT education. His certifications include CompTIA A+, Network+, Linux+, CySA+, and PenTest+; CEH; MCSA; CFR; eJPT.

Abstract: The course begins with a warm welcome and an overview of the PMP exam, setting the stage for an in-depth exploration of project management methodologies. It covers the three domains of project management and delves into various methodologies, including predictive, hybrid, and Agile. The course provides a comprehensive understanding of Agile, from its manifesto and values to detailed principles, along with insights into Agile planning and terminology. The course focuses on practical applications, including Agile estimating techniques, sprint planning, and understanding the project management environment. It also covers the primary skills of a project manager, balancing competing constraints, and the intricacies of project lifecycle and work authorization systems. The course goes beyond theory, delving into tools and techniques for building and leading a team, defining team ground rules, and engaging virtual teams. The course wraps up with extensive preparation for the PMP exam, including breaking down questions, understanding the PMI Code of Conduct, and insights into the application process. It equips you with the knowledge and skills to excel on exam day, setting a strong foundation for your career in project management. What you will learn Navigate the PMP exam overview and structure Understand Agile principles and methodologies Develop key project management skills and strategies Implement effective team building and leadership techniques Manage project scope, budget, and schedules proficiently Apply risk management and stakeholder engagement practices Audience The course is ideal for professionals seeking PMP certification or advancing their project management skills. A foundational understanding of project management principles is beneficial. This course is a perfect fit for those aiming to align with PMI standards and embrace various project management methodologies. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Chris Ward: Chris has been a Technical Instructor for 20+ years with certifications in CompTIA, Microsoft, Cisco and more. Much of his experience has been as a PMP and ITIL℗ʼ Expert/Managing Professional. Chris is a sought-after conference speaker and consultant in ITSM and a published author. Certifications: CompTIA A+, Network +, iNet+, MCSE: Communication, MCSE: Server Infrastructure, CCNP, CWLS, AWLSS, AWLDS, PMP, ITIL℗ʼ Expert v3, ITIL℗ʼ 4 Managing Professional/Strategic Leader, PRINCE2 Practitioner, COBIT 2019 Foundation Zachary Memos: Zachary Memos is a show host with 30+ years of on-camera experience. He brings his wit and charm to the camera while helping bring out the best in the ITProTV subject matter experts.

Abstract: Over the past year, generative AI has dominated headlines. We know that it's being used to write code, but how can you leverage its power in software architecture when every company's architecture is different? How can you convert the knowledge automated by AI into the wisdom required for software architecture? What are the best ways to use this powerful tool to improve your architecture's security and resiliency? Join us to discover how AI may impact software architecture and how you can use it in your architectural processes right now. You'll explore AI for SaaS architecture, how to use AI to create diagrams, and more. If you're looking to stay one step ahead, these sessions are for you. What you'll learn and how you can apply it Understand the possibilities and risks of AI so you can judge when and how to use it Learn how GenAI mechanisms can influence core SaaS architecture strategies and how you can implement this in your SaaS solution Explore the use of prompt engineering for architectural tasks and leverage generative AI to improve their work This live event is for you because... You want to understand how to use generative AI to improve and communicate your software architecture. You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. Recommended follow-up: Read Building Multi-Tenant SaaS Architectures (book) Read Communication Patterns (book) Read Software Architecture: The Hard Parts (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

Abstract: Begin your Splunk journey with our comprehensive video course designed to guide you through every facet of this powerful tool. Start with a condensed history to understand why Splunk has become an essential tool for data-driven decisions. You'll dive into the components that constitute Splunk, ensuring you grasp each element's role in a successful implementation. From installing Splunk and understanding its licensing to configuring and managing data inputs, this course covers the operational spectrum. Gain deep insights into managing user roles and authentications, setting up robust data retention policies, and leveraging Splunk's advanced data transformation capabilities. By the end, you'll not only be prepared to effectively use Splunk in your organization but also to optimize its functionalities to suit your specific needs.

Abstract: Join Neal Ford and his guest Pramod Sadalage, director at Thoughtworks, to get an expert perspective on what the future holds for data-driven architecture. Big data is getting bigger all the time, so you know you’ll have to support a data-driven strategy at some point, but what will that entail? How will you develop partnerships between database professionals, software developers, and software architects? Learn the best practices and principles for designing and future-proofing your data architecture without complicating it.

Abstract: "Using Community Code" is designed to empower developers by teaching them how to effectively use and manage community-written code within their Python projects. The course begins with an introduction to the concept of community code, exploring popular repositories and libraries that help solve common programming challenges. We then delve into practical skills, such as installing and managing packages with pip, creating and handling virtual environments, and mastering environment management tools like pipenv and conda. Throughout the course, we provide hands-on demonstrations on how to integrate these tools into your development workflow, ensuring that you can apply what you learn directly to your projects. By the end of the series, you will not only be proficient in managing Python environments but also in optimizing your development process by utilizing powerful community-driven solutions.

Abstract: A meticulously crafted video course aimed at professionals seeking to leverage the power of automation through PowerShell. This course, divided into three main sections, begins by laying the foundation with PowerShell basics, including setup, execution policies, command usage, and leveraging the Visual Studio Code environment. Progressing through the course, you'll delve into scripting basics, learning about arrays, hash tables, operators, and control structures like "if," "switch," and looping statements to manipulate and process data dynamically. The final section is dedicated to practical scripting, where real-world scenarios are addressed, such as prompting for user input, archiving files by date, and comparing hash values for security checks. Through engaging video content, this course not only strengthens your understanding of PowerShell's core concepts but also enhances your skills in scripting to automate and optimize a wide array of tasks.

Abstract: This course is designed for developers looking to deepen their understanding of AWS services to build scalable and fault-tolerant applications. Starting with an overview of AWS's Identity and Access Management (IAM), it covers essential AWS services such as EC2, S3, RDS, and DynamoDB. Through practical demonstrations, learners will grasp how to effectively manage virtual machines, implement security, and develop serverless applications. The course also explores AWS's developer tools like AWS CLI, CloudFormation, and Elastic Beanstalk, equipping developers with the skills needed to deploy and manage applications efficiently. As you progress, you will learn how to optimize applications with caching services and ensure high availability with multi-AZ deployments. Prepare to not only pass the AWS Certified Developer exam but also to apply these skills in real-world scenarios, enhancing your professional capabilities in the AWS ecosystem.

Abstract: "Business Continuity and Recovery Planning" is a meticulously crafted course aimed at equipping professionals with the knowledge and skills to design and implement robust business continuity plans (BCPs) and disaster recovery strategies. The course begins with a foundational overview of business continuity, discussing the crucial elements and objectives involved in a continuity plan. Following the introductory discussions, the course dives into practical methodologies for conducting Business Impact Analyses, assessing risks, and developing recovery strategies that align with organizational needs. Participants will learn through a series of detailed episodes that guide them through each step of creating and fine-tuning a Business Continuity Plan—from initial risk assessment and business impact analysis to the strategic inclusion of cloud technologies. The course provides learners with template-based planning, detailed walkthroughs of risk assessment, and the crafting of emergency communication strategies. Learners will also explore the integration of modern IT disaster recovery planning, understanding the nuances of IT-specific recovery testing, and the documentation required to ensure continuity and resilience. By the end of the series, participants will be equipped to handle and respond to emergencies effectively.

Abstract: Our "Survey of Data Science" course provides a deep dive into the world of data analysis and modeling, equipping learners with the skills to transform raw data into insightful decisions. Starting with an introduction to data scientists' roles and activities, the course progresses through data exploration and analysis. You will learn about the importance of data hygiene, statistical foundations, and the power of visualization to communicate data-driven insights effectively. As the course unfolds, it covers complex topics such as handling unstructured data, building associative rules, decision trees, and regression models, and delves into sophisticated areas like neural networks and natural language processing. The Lambda architecture section will illuminate real-time and batch data processing, essential for handling big data scenarios in professional settings. The course not only provides technical skills but also emphasizes practical application, preparing participants to apply their knowledge in real-world situations. This journey will equip you with the expertise to navigate the challenges of modern data science, making you an asset in various industry roles.

Abstract: The "AWS Certified SysOps Administrator - Associate" course is an expertly structured educational journey designed to equip you with the operational skills and best practices needed for AWS system administration. This course dives deep into the core aspects of managing AWS environments, ensuring you understand the full functionality of the AWS suite. Starting with Identity and Access Management (IAM), the course covers essential security configurations and progresses through managing virtual private clouds, utilizing Elastic Compute Cloud (EC2), and ensuring high availability and fault tolerance. Throughout the course, you will engage with detailed tutorials on setting up and securing networks, managing storage options, and optimizing resource utilization to ensure cost-effective operations. As the modules advance, you'll learn about sophisticated strategies for application load balancing, route management, database administration, and backup and recovery processes, all within AWS frameworks. By the end of this course, you will have navigated through comprehensive training on automating deployments, monitoring system performance, and managing costs, setting you up for success on the AWS Certified SysOps Administrator - Associate exam and in real-world operations.

Abstract: Welcome to our Next.js Mastery course where you'll journey into the world of Next.js and React to become a proficient developer. In this comprehensive course, we'll cover a range of essential topics to equip you with the skills and knowledge needed to create top-tier web applications. Our journey begins with an introduction to Next.js, highlighting its key features and advantages. We'll set clear expectations for what you'll learn in the course and prepare you for the hands-on experience ahead. Dive into practical aspects, including setup and installation, Next.js basics, and mastering React Hooks like useState, useEffect, and useMemo. Routing in Next.js is a vital skill, and we'll cover it extensively. Explore creating dynamic and user-friendly navigation systems, from basic routing to nested routing. Additionally, we'll understand layout design, the differences between common and conditional layouts, and how to effectively implement middleware. Our course places a strong emphasis on API integration, encompassing both client-side and server-side APIs. Gain hands-on experience working with data from external sources and grasp the nuances of client and server components. We'll also delve into optimization, covering image optimization, SEO best practices, and fundamental styling techniques to enhance user experiences. By the course's end, you'll emerge as a Next.js expert, capable of building efficient, optimized, and feature-rich web applications. Whether you're a beginner or an experienced developer, our Next.js Mastery course will empower you to create web applications that excel in the digital landscape.

Abstract: Dive deep into the core principles of Single Page Applications (SPAs) and understand why Angular stands out from other frameworks, gaining insights that will help you make informed decisions in your projects. We cover everything from setting up your development environment in Visual Studio Code to the intricacies of TypeScript, ensuring that you have a solid foundation to build upon. Our hands-on approach means you'll be writing code from day one. Explore JavaScript, ES6, and TypeScript basics, learning how these technologies come together to create robust web applications. You'll grasp essential programming concepts, understand data types, functions, events, and master the use of the "this" keyword. Angular 16 brings a plethora of features and improvements, and you'll learn how to leverage them to create highly interactive and responsive web applications. From creating components to understanding directives, routing, and component interaction, you'll acquire the skills to handle complex development challenges. RxJS and reactive programming are at the heart of Angular. This course offers an in-depth exploration of RxJS, teaching you how to manage asynchronous operations and data flow like a pro. You'll work with Observables, Operators, and Subjects, unlocking patterns and techniques that are key to building high-performance applications. We'll integrate third-party libraries like Bootstrap, enhancing the visual appeal and responsiveness of your applications. Through real-world projects, you'll apply your learning, reinforcing concepts, and building confidence in your abilities. By the end of this course, you'll have a comprehensive understanding of Angular 16, RxJS, and the best practices in modern web development, poised to tackle complex projects and create seamless, efficient web applications.

Abstract: Revolutionize your architectural designs with Revit 2023! In this course, you will embark on an exciting journey to unlock the full potential of Revit, the industry-standard software that has transformed the world of architecture, engineering, and construction. The course is designed to empower you with the latest features, functionalities, and best practices of Revit. Prepare to dive deep into the world of Revit 2023, as you explore advanced modeling techniques to craft accurate and compelling building designs. You will master the key concepts of Building Information Modeling (BIM), become proficient with the Revit interface and navigation, and tackle essential topics such as site design, massing, floor plans, sections, elevations, and 3D views. Furthermore, you will learn how to work with families, manage and coordinate your projects, and create visually stunning visualizations. By the end of this course, you will not only have a solid understanding of the capabilities of Revit 2023, but you will also be equipped with the skills needed to create professional building designs and documentation that will leave a lasting impression. Equipped with this knowledge and skillset, you will be well-positioned to contribute meaningfully to any architectural project, enhancing your professional portfolio and establishing yourself as a proficient Revit practitioner.

Abstract: Agile with AI Enhancing Agile Methodologies with Artificial Intelligence This video course explores the integration of Agile practices with Artificial Intelligence (AI) to streamline software development processes and improve productivity. By combining the principles of Agile and the capabilities of AI, you can unlock new levels of efficiency and innovation. Lessons Covered Include: 1.0 Course Introduction 2.1 Waterfall Planning 2.2 Playground vs. Plant Analogy 3.2 Pragmatic Agile 3.15 Productivity Techniques 4.1 AIOps (Artificial Intelligence for IT Operations) 4.2 Diagram Prompt Engineering 4.3 Summarizing Text with Claude 4.4 AI Pair Programming: Paradigm Shift 4.5 AWS CodeWhisperer for Rust 4.7 Serverless Bedrock Diagram 4.8 Bedrock Knowledge Agent: Retrieval-Augmented Generation (RAG) 4.9 Building Blocks for Generative AI: WhisperCPP RAW Learning Objectives Understand the foundations of Agile methodologies and their importance in software development Learn techniques for enhancing Agile practices with AI tools and techniques Explore AI-powered productivity techniques for streamlining development workflows Discover AI-driven approaches to pair programming, code generation, and prompt engineering Gain insights into cutting-edge AI applications in software development, such as AIOps and knowledge agents Learn to leverage AI tools like AWS CodeWhisperer and Retrieval-Augmented Generation (RAG) models Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: Small Language Models and LLamaFile Learning About Small Language Models and Running Them Locally with LLamaFile This video series covers small language models, their advantages, and how to run them locally using the LLamaFile tool. Lessons Covered Include: 1.1 Introduction to Small Language Models 1.2 Demo: Running Phi Small Language Model with LLamaFile 2.1 Getting Started with LLamaFile 2.2 Demo: Running Lava Multi-Modal Vision Model with LLamaFile Learning Objectives Understand what small language models are and their advantages Learn how to run local language models using the LLamaFile tool See demos of running different small language models like Phi and Lava Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: It's easy to assume that being a software architect is mostly about technical decision-making, but the job involves much more than that. So, what are the skills that make a software architect, and what do you need to know to succeed in the job? Join us to discover how to build the skills you need to step into a software architect role with confidence. You'll explore how to design distributed systems, work with architectural patterns, manage data, collaborate with teams, and more. By the time you're through, you'll understand why the answer to so many questions in software architecture is "It depends" and how to assess the trade-offs that will influence your decision-making. What you'll learn and how you can apply it Use architectural design patterns to make architectural choices Understand why architectural decisions are important and how to make them efficiently Think like a software architect and consider trade-offs effectively This live event is for you because... You're an aspiring software architect who wants to understand which skills you need to progress in your career. You're a software architect who wants to explore key skills in more detail. Recommended follow-up: Read Fundamentals of Software Architecture (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

Abstract: Google Professional Cloud Architect Certification Course 2023 (Rough Draft) Welcome to the Google Professional Cloud Architect Certification Course! This course is designed to help you prepare for the Google Cloud Certified Professional Cloud Architect certification exam. As a professional cloud architect, you will be responsible for designing, developing, and managing secure, scalable, and highly available cloud solutions using Google Cloud Platform. Course Overview Course One: Designing and planning a cloud solution architecture 1.0 Rough Draft Introduction Introduction to Google Professional Architect Course Onboarding to GCP Cloud Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Designing network, storage, and compute resources Using Google Cloud Functions Running Minikube Running Minikube with FastAPI for Kubernetes development Getting Started with Google Cloud Run Load testing with locust Design technical solutions for evolution and migration SRE Mindset Conclusion and Next Steps Course Two: Managing and provisioning a solution infrastructure Introduction to Google Professional Architect Course Two Exploring Network Topologies in GCP: A Demonstration Embracing Hybrid Networking in Google Cloud Platform Overview of GCP Storage Demo of using the SDK and CLI to manage storage Data lifecycle management Data security Demo of building Rust deduplication finder Compute volatility configuration (preemptible vs. standard) Demo Build and Deploy Rust Actix Microservice Cloud Run Container orchestration with GKE Demo of extending Google Cloud Functions Conclusion Course Two Course Three: Designing for Security and Compliance Introduction to Google Professional Architect Course Three Mastering Identity and Access Management in GCP Data Security Best Practices for GCP Secrets Manager API: A Hands-on Guide Exploring a data poisoning attack Meeting Industry Certification Requirements in GCP Auditing GCP Security with Log Analysis Creating Custom Log Dashboards for GCP Security Monitoring Scanning Web Applications with GCP's Cloud Web Security Scanner Analyzing GCP Logs with BigQuery GCP Security: Conclusion and Next Steps Course Four: Designing and optimizing technical and business processes Introduction to Google Professional Architect Course Four Continuous Delivery: An Introduction Hands-on with Continuous Integration in GCP Troubleshooting Techniques: The Five Whys Implementing Simple GitHub Actions for CI/CD The Three Most Important Files in a Python Project Utilizing Trello for Effective Project Management Leveraging Spreadsheets for Project Management Exploring the MLOps Maturity Model Building Bespoke Systems for Core Business Functions Data Science on Windows: Virtualenv and Pip Site Reliability Engineering (SRE) in GCP Performing Load Testing in GCP: A Demo Course Five: Managing and optimizing cloud solution Implementation Introduction to Google Professional Architect Course Five Makefiles Made Easy: A Comprehensive Guide Configuring Your Bashrc for an Optimal Environment Implementing Continuous Integration for Rust with GitHub Actions Unit Testing in Rust: A Hands-on Demonstration Supercharging Rust Development with Copilot Setting Up a GCP Workstation for Python Development Mastering Google Cloud Shell: A Practical Guide Streamline Your Development with Google Cloud Editor Getting Started with the Google Cloud CLI SDK Unleashing the Power of Google Cloud's 'gcloud' Command-Line Tool Deploying Rust Applications to App Engine: A Step-by Course Six: Ensuring solution and operations reliability Introduction to Google Professional Architect Course Six Monitoring and Logging Rust App Engine Applications: A Demo Uncovering the Advantages of Cloud Developer Workspaces Operationalizing Microservices in the Cloud Introducing GitHub Codespaces for Streamlined Development Compiling Python Projects in GitHub Codespaces Mastering Continuous Integration in GCP Course Wrap-up and Future Steps in Your GCP Journey Learning Objectives Design and optimize cloud solutions Analyze and optimize technical and business processes Manage and provision cloud infrastructure Ensure solution and operations reliability By the end of this course, you will have the knowledge and skills needed to pass the Google Cloud Certified Professional Cloud Architect exam and to effectively design and manage cloud solutions using Google Cloud Platform. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Abstract: Join us for this edition of O'Reilly Book Club with Mark Richards and Neal Ford, author of Fundamentals of Software Architecture and Software Architecture: The Hard Parts. Ask questions, learn tricks of the trade, listen to stories, and connect with other readers. What you'll learn and how you can apply itUnderstand what software architecture is and why it's so hard to define precisely Learn the fundamentals of software architecture (structure of the system combined with architecture characteristics, architecture decisions, and design principles) Explore the importance of thinking like a software architect This recording of a live event is for you because... You want to go beyond the words on the page and hear from the authors. You want to learn from other software architects. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture by Example (live event with Mark Richards and Neal Ford) Attend our 2023 Software Architecture Superstream events Attend our Software Architecture Hour events.

Abstract: Join us for a special conversation with Neal Ford and Chris Richardson, an experienced software architect, creator of the original CloudFoundry.com, and the author of POJOs in Action and Microservices Patterns. They'll discuss the concerns that you must consider when deciding between monolithic and microservice architectural styles, then they'll dive into how well each architectural style resolves these forces and how to evaluate the relative importance to your application of each of these forces. What you'll learn and how you can apply it Understand how to decide between monolithic and microservice architectural styles See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Chris Richardson about microservices and software architecture and what the future might look like. You're looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Microservices Patterns (book) Listen to Microservices Patterns (audiobook) Read Monolith to Microservices (book) Read Building Microservices, second edition (book) Attend Microservices in 3 Weeks (live event) Watch Software Architecture Superstream: Microservices (live Superstream event recording).

Abstract: Join us for a special conversation with Neal Ford and Kent Beck, programmer, creator of Extreme Programming, pioneer of software patterns, coauthor of JUnit, rediscoverer of test-driven development, and signer of the Agile Manifesto. They'll discuss how software design is an exercise in human relations, then get into the work Kent is doing to empower geeks everywhere to improve software design, starting with making small changes to code (tidyings) before moving into changes that improve the larger design. Along the way, they'll dive into the theory behind software design (coupling, cohesion, discounted cash flows, and optionality). This is a chance for you to hear from Neal and Kent about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Learn how to craft technical strategy and make sure it's aligned to business needs See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Kent Beck about software design, Extreme Programming, and what the future might look like. You're looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Extreme Programming Explained, second edition (book) Read Test-Driven Development by Example (book) Read Implementation Patterns (book).

Abstract: Microservices--an approach to distributed systems that promotes the use of finely grained services that can be changed, deployed, and released independently--have reached a level of maturity within the software development ecosystem. (And tools and engineering practices have evolved in tandem to make distributed development easier.) Microservices work incredibly well for organizations that are moving toward more loosely coupled systems, with autonomous teams delivering user-facing functionality. Beyond this, microservices provide a huge number of options for building out systems, giving you the flexibility to ensure your system can change to meet the needs of your users. But while microservices simplify business logic, they bring increased complexity (even for experienced developers), in areas like networking, security, communication styles, team structure, and more. Join us for expert-led sessions that will demystify this complexity, covering the tools, patterns, techniques, engineering practices, and other pieces that will allow microservices development teams to rocket to the next level. What you'll learn and how you can apply it Understand how observability can help keep your microservices running smoothly Explore contract-driven development and learn how it can help you identify compatibility issues earlier in the development lifecycle Discover how Twitch moved from a monolith to microservices This recording of a live event is for you because... You're a software architect or developer working on or thinking about working on a microservices-style architecture and want to learn best practices for deploying microservices. You want to effectively leverage the benefits microservices bring. Recommended follow-up: Listen to Microservices Patterns (audiobook) or read the book Read Building Microservices, second edition (book) Watch The Principles of Microservices (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

Abstract: Professional Data Engineer Certification Course Section 1: Designing Data Processing Systems 1.1 Storage technology selection 1.2 Data pipeline design 1.3 Data processing solution design 1.4 Data warehousing & processing migration Section 2: Building & Operationalizing Data Processing Systems 2.1 Storage system implementation 2.2 Pipeline building & operationalization 2.3 Processing infrastructure implementation Section 3: Operationalizing ML Models 3.1 Pre-built ML models as a service 3.2 ML pipeline deployment 3.3 Training & serving infrastructure selection 3.4 ML model measurement, monitoring & troubleshooting Section 4: Ensuring Solution Quality 4.1 Security & compliance design 4.2 Scalability & efficiency assurance 4.3 Reliability & fidelity assurance 4.4 Flexibility & portability assurance Learning Objectives Learn to design, build, and operationalize data processing systems that meet business requirements, system requirements, and industry best practices. Learning to build scalable, efficient, and secure solutions with Google Cloud technologies to manage and analyze data at scale. Learning the key syntax and features of the SQL language for handling, querying, and performing operations on structured data in Google Cloud. Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Abstract: Getting Started with the Zig Programming Language Learning the Language During Live Coding This video series covers the basics of the Zig programming language through live coding, allowing viewers to learn the language iteratively as it is being used. Lessons Covered 1.0 Getting Started Learning Objectives Learn the fundamentals of the Zig programming language Learn to build solutions with Zig Learn the key syntax and features of Zig Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Abstract: Join us for a special conversation with Neal Ford and Anna Shipman, technical director at the Financial Times (FT). They'll discuss how the company brought seven disparate technical groups into a single cohesive engineering group with one tech strategy, focusing on how the FT changes its strategy to meet changing business needs. They'll also delve into ways of aligning engineering work with business strategy, how to refresh the vision and communicate the strategy, and how to execute it and keep it on track. This is a chance for you to hear from Neal and Anna about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Learn how to craft technical strategy and make sure it's aligned to business needs See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Anna Shipman about the alignment between strategy and software architecture and what the future might look like. You're looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Building Microservices, second edition (book) Read Enabling Microservice Success (book) Listen to Building Microservices, second edition (audiobook) Listen to Microservices Patterns (audiobook) Watch Software Architecture Superstream: Microservices (video).

Abstract: Rust Bootcamp Course Overview Welcome to our comprehensive Rust programming course! In this immersive learning experience, we will guide you through every aspect of Rust, empowering you to become a proficient developer. This course is ideal for beginners wanting to become proficient in Rust or from existing developers coming from languages like Python or JavaScript that want to learn Rust fundamentals. Get started by setting up your preferred text editor and installing Rust. We'll ensure that you have all the necessary tools to create a productive coding environment. By leveraging the capabilities of Visual Studio Code and enabling the Rust Analyzer, you'll unlock a feature-rich ecosystem that enhances your development workflow. Experience the game-changing potential of GitHub Copilot, an AI-powered assistant. Sign up for GitHub Copilot and witness its transformative impact on your coding experience. We'll guide you through the installation process and show you how to leverage its intelligent suggestions for accelerated programming. Master concepts and fundamentals like control flow, variable assignment, and immutability. Learn the intricacies of loops, conditional statements, and effective error handling techniques. With Rust's borrowing concept at your disposal, you'll develop secure and high-performance code. Build upon your foundation with advanced topics like structs, string manipulation, and working with vectors and enums. We'll explore real-world library development using Cargo, Rust's robust package manager. Effective documentation and debugging techniques will become second nature as you optimize your code. Organize your code effectively with modules, extending functionality and enhancing reusability. Dive into comprehensive testing methodologies to ensure the reliability and correctness of your programs. From writing tests for your code to handling private components, you'll gain expertise in developing robust software projects. Our immersive learning experience includes hands-on examples, interactive exercises, and practical projects. Rust's performance, safety, and expressiveness will be at your fingertips as you embrace its immense potential. Join us on this rewarding journey to unlock the power of Rust programming and propel your career forward. Enroll now and gain the skills, knowledge, and expertise to thrive in the world of Rust. Whether you're a beginner, coding novice, or an experienced developer seeking new horizons, our course is your gateway to writing elegant, reliable, and high-performance code. Embrace the possibilities of Rust and embark on a rewarding programming journey today with one of the most loved programming languages. Learning Objectives Gain a solid understanding of Rust's core concepts, including variable assignment, control flow, and immutability, to write efficient and reliable code. Master the utilization of powerful development tools such as Visual Studio Code and the Rust Analyzer, enhancing productivity and enabling seamless coding experiences. Explore GitHub Copilot and learn how to leverage its AI-driven suggestions to accelerate programming and boost code quality. Develop proficiency in working with advanced Rust features, such as structs, enums, and string manipulation, to build robust and flexible applications. Discover the intricacies of module organization and extend functionality through effective code structuring, promoting code reusability and maintainability. Acquire comprehensive testing skills, including writing tests for code components and handling private code, ensuring the reliability and correctness of Rust programs. Gain hands-on experience in real-world library development using Cargo, Rust's package manager, and become proficient in documenting code and debugging techniques. These compelling learning objectives will guide you through the course, helping you acquire essential skills and knowledge to become a confident Rust developer. Course Content This course is divided into 4 weeks with 3 lessons that contain about 6 videos each. Each video is about 5 minutes long and contains a hands-on demonstration of the concepts covered in the lesson. The course is designed to be taken in order, but you can jump to any lesson you want to learn more about. Week 1: Setting up your development environment Reference GitHub Repository Setting up your text editor Using GitHub Copilot with Rust Introduction to GitHub Codespaces for Rust Week 2: Rust fundamentals Reference GitHub Repository Introduction to Rust Loops and Control flow Function basics Week 3: Structs, Types, and Enums Reference GitHub Repository Using structured data Exploring strings and vectors Working with Enum and Variants Week 4: Applying Rust Reference GitHub Repository Building a real-world library Extending functionality with modules Testing Rust code About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build with the Rust programming language. Resources Deploy Rust on Azure Functions DevOps command-line tools in Python and Rust Switching to Rust from Python First Steps with Rust Learning Path.

Abstract: Join us for a special conversation with Neal Ford and Michael Feathers, founder and director of R7K Research & Conveyance, where they'll discuss the best way to handle making improvements to a large, unfamiliar code base--a task that starts with understanding code base technologies you've never seen before. Understanding the system, something that is rarely taught, is a vital part of software development. You'll hear about the patterns you can use to make this task successful. This is a chance for you to hear from Neal and Michael about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Get insights to support your work with legacy systems See what's coming next with software architecture This live course is for you because... You want the chance to hear directly from Neal Ford and Michael Feathers about the alignment between strategy and software architecture and what the future might look like. You are currently looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Working Effectively with Legacy Code (book) Read Refactoring: Improving the Design of Existing Code (book) Listen to Building Microservices, second edition (audiobook).

Abstract: Join us for a special conversation with Neal Ford and Thoughtworks tech principal Andrew Harmel-Law about how the definition of an "effective" software architect is changing in response to the rise of modern decoupled systems. Architects, and traditional architectural approaches, must evolve to meet the challenges of increasingly autonomous, independent, and self-managing development teams. You can avoid creating the bottleneck for architecture decisions when you're working with all those teams. Andrew will outline the architecture advice process, which enables anyone working in a system to make an architecture decision--but only after talking to the people who have expertise as well as the people who'll be impacted by the decision. This is a chance for you to hear from Neal and Andrew about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it How to craft technical strategy and make sure it's aligned to business needs See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Andrew Harmel-Law about software design, extreme programming, and what the future might look like. You are currently looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Software Architecture: The Hard Parts (book) Listen to The Software Architect Elevator (audiobook) Read Building Evolutionary Architectures, second edition (book) Read Software Architecture Metrics (book).

Abstract: Join us for a special conversation with Neal Ford and Gayathri Thiyagarajan, where they will discuss practical application of Data Mesh to improve data quality and some of the challenges that come from implementing it at scale as well as the opportunities it provides. They'll dive into a practical discussion of Data Mesh based on implementing Data Quality at scale and what steps are needed to ensure end users are receiving reliable data. This is a chance for you to hear from Neal and Gayathri about software, architecture, and their own career journeys. They will spend a few minutes covering the trends that are influencing architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand data mesh and how it might fit into your organization. See what's coming next with software architecture. This live course is for you because... You want the chance to hear from Neal Ford and Gayathri Thiyagarajan about methodologies for improving your software architecture. You're looking for ways to grow your own skills and act as an innovator in your organization. Recommended follow-up: Read Data Mesh (book) Read Software Architecture: The Hard Parts (book).

Abstract: Using Rust with Python A Practical Guide to Rust for Python Developers Topics: Lesson 1: Introduction to Rust and Python Integration & PyO3 Basics Video 1.1 : Introduction to Rust and Python Video 1.2 : PyO3 Installation Video 1.3 : Basic Rust Library Video 1.4 : Rust to Python Video 1.5 : Rust Ownership Model Video 1.6 : Diagram PyO3 Project Video 1.7 : Python Calc CLI Video 1.8 : PyO3 Features Video 1.9 : PyO3 Exceptions Lesson 2: Advanced Rust and Python Mixing Techniques Video 1.10 : Call Python from Rust Video 1.11 : Run Python Embedded in Rust Video 1.12 : Embedded Rust CLI Diagram Video 1.13 : Embedded Rust CLI Video 1.14 : Embedded Rust CLI Test Video 1.15 : Rust-built Python Tools Video 1.16 : Using Rust Ruff Linter Lesson 3: Python and Rust Command-Line Tools & Recap Video 1.17 : Using Polars with Python and Rust Video 1.18 : Polars CLI in Rust Video 1.19 : Polars CLI Test in Rust Video 1.20 : Polars-CLI Integration Test Video 1.21 : Polars Criterion Benchmarking Learning Objectives Understand the need for Rust and Python integration. Explore the PyO3 library and its usage. Understand the Rust ownership model and its usage in PyO3. Who Should Take This Course Python developers who want to learn Rust and its integration with Python. Rust developers who want to learn how to integrate Rust with Python. Developers who want to learn how to build command-line tools using Rust and Python.

Abstract: Rust AWS Lambda Build and deploy serverless applications with Rust and AWS Lambda This course will help you build and deploy serverless applications with Rust and AWS Lambda. You will learn how to create, deploy, and manage AWS Lambda functions using Rust, leveraging the power and performance of the language for serverless architecture, and apply it by building a real-world Lambda function as a part of a distributed application. What you will learn Understand the concept of serverless architecture and AWS Lambda. Create and deploy AWS Lambda functions written in Rust. Integrate Lambda functions with other AWS services. Monitor, test, and optimize Rust-based Lambda functions. Implement real-world applications using Rust and AWS Lambda. Lesson 1: Getting Started with Rust AWS Lambda and Serverless Introduction to Serverless and AWS Lambda Walk through Rust Firecracker Project Setting up VSCode AWS Toolkit and CodeWhisperer for Rust Introduction to Cargo Lambda Rust Cost Advantage AWS Lambda Using the AWS Lambda Console Using the Step Functions Console Invoking Step Functions from AWS CLI Lesson 2: Advanced Techniques with Rust and AWS Lambda Building a Rust AWS Lambda Add Function Building a Rust AWS Lambda Divide by Two Function Invoking AWS Step Function from CLI Building Chainable AWS Step Functions with Rust Serverless MLOPs with EFS mounted in AWS Lambda Using Rust AWS Lambda Function URLs Saving money with arm64 Rust AWS Lambdas Lesson 3: Building a Polars Rust AWS Lambda Solution Polars Rust AWS Lambda Build and Deploy Polars Rust AWS Lambda Using AWS Console with deployed Polars Rust AWS Lambda Analyzing Rust AWS Lambda code with CodeWhisperer and AWS Toolkit AWS Lambda Function URLs Build and Deploy Polars Rust AWS Lambda Function URLs.

Abstract: The course begins with a deep dive into the essentials of laptop and mobile device hardware, where you'll learn to identify, use, and connect a wide range of components and accessories. You'll become proficient in distinguishing between different ports, protocols, and networking hardware, grounding your knowledge in practical, real-world IT scenarios. The course focuses on building a robust foundation in wireless standards and networking principles. You'll also gain critical skills in configuring and managing network connections, understanding IP addresses, and mastering internet connectivity nuances. The course wraps up with an essential segment on troubleshooting methodologies. You'll learn to diagnose and resolve common hardware issues, ensuring devices operate smoothly. This end-to-end journey from hardware basics to practical troubleshooting equips you with the skills to tackle a variety of IT challenges confidently. What you will learn Learn network configurations Troubleshoot hardware issues Decode wireless protocols Manage IP and DNS settings Understand cloud services Apply effective troubleshooting Audience Ideal for aspiring IT professionals, this course lays a solid foundation for a career in tech support. Basic computer knowledge is recommended. This course is perfect for those pursuing CompTIA A+ certification as it provides a comprehensive understanding of modern IT infrastructures. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Wes Bryan: Wes Bryan embarked on his IT career path in 2009, initially as a mentored learning instructor, and later transitioning into a technical IT instructor. His exceptional teaching skills were recognized with three global teaching awards for 'Global Technical Instructor' during his early teaching years. Wes has made notable contributions as a member of the CIN (CompTIA Instructor Network) Advisory Board and the Board of Directors for CompTIA AITP (Association of Information Technology Professionals). Certifications: CompTIA A+, Network+, Security+, Server+, Cloud+, CySA+; MCSA; MTA; MCTS; MCP; MS; MCT. Ronnie Wong: Ronnie Wong has had a diverse career, from diesel service and ministry to computer repair and network administration in small businesses. He set up networks and servers and created policies in these roles. As an Edutainer at ITProTV, now ACI Learning, he started as an IT technical instructor, later working as a contract trainer for the University of Florida, Marion County School Systems, and Nationwide Insurance. He provided Cisco, Microsoft Windows, CompTIA, and IT security training to military and DoD personnel. Now the Director of Content Development at ACI Learning, Ronnie's credentials include CCNP Enterprise Infrastructure, CCNA, CompTIA's A+, Network+, Security+, ISC2 CC, CNA Security, and PCNSA.

Abstract: Microsoft Azure AI Fundamentals (AI-900) Certification Pass the AI Fundamentals certification This early release (ongoing) course will give you everything you need to pass the Azure AI Fundamentals (AI-900) certification. This is the foundational certification for doing Machine Learning and Data Science using Azure and its specialized services. The course will go into every content that is relevant to pass the certification including how to create a study guide and strategy to pass the exam. This course includes and covers all of the author's study notes so that you can use them in addition to your own notes . Course overview This course contains a complete walkthrough over all of the content relevant for the AI-900 certification with a summary and specialized notes after each sections, following the same content that is available as Learning Paths. Aside from the video content, create your own study notes and strategy using the example reference guide Course Content Get Started with AI Get Started with AI Study notes Get Started with Artificial Intelligence on Azure About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience studying and passing the AI-900 is seen throughout this course, where you will get a first-hand experience with study notes, example repositories, and a solid study strategy. Resources Pytest Master Class Practical MLOps book.

Abstract: Join us for a special conversation with Neal Ford and Mary and Tom Poppendieck, authors of four books including the groundbreaking 2003 title Lean Software Development: An Agile Toolkit. You'll learn what they think the future of software will look like and discover why what's most meaningful to software development isn't the newest technologies but knowing what value is and what's most important to work on. You'll also hear their insights on how to get from where you are now to where you need to be in a safe, reliable, and scalable way. This is a chance for you to hear from Neal, Mary, and Tom about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Find out what the future of software may look like Discover why it's essential to consider the value of your software See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Mary and Tom Poppendieck about software engineering and architecture and what the future may hold for the field. You're looking to enhance your skills and innovate in your organization. Recommended follow-up: Read Software Architecture: The Hard Parts (book) Read Lean Software Development: An Agile Toolkit (book) Read Implementing Lean Software Development: From Concept to Cash (book) Read Leading Lean Software Development: Results Are Not the Point (book) Take Software Architecture by Example (live online course with Neal Ford and Mark Richards) Watch Software Architecture Superstream: Software Architecture Trade-Offs (live event on January 18).

Abstract: This introductory lesson will walk you through everything you need to know to quickly get started with Azure ML Studio using AutoML. After creating the necessary resources, you'll walk through the steps needed to create a regression job using a dataset. Next you'll create a compute cluster and review the different options available and finally, you'll analyze the results after the best model is selected.

Abstract: Deploy Rust on Azure Functions Learn how to deploy Rust functions to Azure Functions with this comprehensive video course. You will start by creating a simple HTTP-triggered function, and then use GitHub Actions to automate your deployment. Deploying Rust in Azure can be frustrating because there is no first-class support yet for it. You will learn what are some of the caveats and what are some strategies you can use to properly deploy a very basic Rust HTTP API. Course Overview We will start by covering the basics of Azure Functions and Rust, and then dive into more advanced topics such as configuring your function's environment, application settings, and using external crates. By the end of this course, you will have a working knowledge of how to deploy and manage your Rust functions on Azure Functions using automation to quickly re-deploy or update your function. Course Content Introduction to Azure Functions - Learn the basics of Azure Functions and how they work with Rust. Creating Your First Azure Function in Rust - Create a simple HTTP-triggered function in Rust and deploy it to Azure Functions. Configuring Your Function Environment - Learn how to use environment variables to configure your function's behavior. Use GitHub Actions for automation About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. With Alfredo's guidance, you will gain the knowledge and skills needed to deploy and manage your Rust functions on Azure Functions. Resources Deploying containers to Azure Practical MLOps book Automated Azure Resource Cleanup Azure Fundamentals Certification.

Abstract: Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Certification Exam Guide Welcome to the Google Professional Machine Learning Engineer Course! This course is designed to help you prepare for the Google Professional Machine Learning Engineer certification exam. Learning Objectives Develop a deep understanding of Google Cloud technologies and various ML models and techniques to design, build, and productionize machine learning solutions that address specific business challenges while adhering to responsible AI practices. Collaborate effectively with cross-functional teams, including application developers, data engineers, and data governance professionals, to ensure the long-term success of ML models throughout their development, deployment, and maintenance. Master the skills required to design, implement, and manage ML architectures, data pipelines, and metric interpretations, as well as optimize model performance through training, retraining, deploying, scheduling, monitoring, and refining models in scalable and efficient ways. Learn how to use the Google Cloud Platform (GCP) to build and deploy ML models, including how to use GCP services such as BigQuery, Cloud Storage, Cloud AI Platform, and Cloud Functions to build and deploy ML models. Who Should Take This Course? Data scientists Data engineers Machine learning engineers Software engineers Data analysts Data architects Business analysts Anyone interested in learning about machine learning and Google Cloud Platform Course One: Framing ML Problems Course Two: Architecting ML solutions Course Three: Designing data preparation and processing systems Course Four: Developing ML models Course Five: Automating and orchestrating ML pipelines Course Six: Monitoring, optimizing, and maintaining ML solutions Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Abstract: Frontend developers and architects combine interface design skills and programming excellence to ensure that users can easily interact with their organizations' web pages. As the demand for online goods continues to grow, developers, architects, and designers will need to consider the efficiency, scalability, performance, and security of their websites to best support their customers. The rise of new language frameworks and micro-frontends means that it's now possible to create truly decoupled user interfaces leading to faster deploying and more scalability. Join leading experts and practitioners from the field for a deep dive into the discipline of frontend architecture. You'll gain insight into the latest tools, standards, and best practices that have elevated frontend web development to an entirely new level. What you'll learn and how you can apply it Understand how cloud native and the Web Platform APIs are pushing the boundaries of what was once known as the Jamstack and micro-frontends into a full stack composable architecture Learn what the future holds for frontend developers This recording of a live event is for you because... You're a software architect or developer working on or thinking about working on frontend architectures and want to learn best practices. You want to effectively develop your frontend architecture into a system where user data is "at the beck and call of the users themselves" for a more user-centric experience. Recommended follow-up: Listen to Blazor in Action (audiobook) Read Building Micro-Frontends (book) Read Micro Frontends in Action (book).

Abstract: Hugging Face for MLOps Learn how to leverage Hugging Face and its powerful machine learning capabilities. Build, train, and deploy your own models using the Hugging Face platform and libraries. In this course you'll get hands-on with Hugging Face and learn how to: Access and use pre-trained models from the Hub Fine-tune models with your own data Build machine learning pipelines with Hugging Face Transformers Add and version your own datasets Containerize and deploy Hugging Face models Automate workflows with GitHub Actions By the end, you'll have practical experience building, training, and deploying Hugging Face models, including production deployment to the Azure cloud. Learning objectives Find and use pre-trained models Fine-tune models for custom tasks Build ML pipelines with Hugging Face libraries Create and version datasets Containerize models for production Automate workflows for MLOps Lesson 1: Getting Started with Hugging Face Lesson Outline Overview of Hugging Face Hub Browsing models and datasets Using Hugging Face repositories Managing spaces and access Lesson 2: Applying Hugging Face Models Lesson Outline Downloading models from the Hub Using models with PyTorch/TensorFlow Leveraging tokenizers and pipelines Performing inference with Hub models Lesson 3: Working with Datasets Lesson Outline Browsing datasets on Hugging Face Uploading and managing datasets Versioning datasets with dataset cards Loading datasets in PyTorch/TensorFlow Lesson 4: Model Serving and Deployment Lesson Outline Containerizing Hugging Face models Creating inference APIs with FastAPI Deploying to cloud services like Azure Automating with GitHub Actions About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience teaching and authoring content about LOps will give you everything you need to get started applying these powerful concepts. Resources MLOps with Databricks Introduction to MLflow for MLOps Hands-on Python for MLOps.

Abstract: Rust for Pythonistas What you'll learn-and how you can apply it A multi-hour jam session where you will learn to code in Rust. * Write efficient and safe Rust code * Leverage Rust libraries and tools in your projects * Combine Rust with Python for improved application performance Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: Sponsored by Cockroach Labs Domain-driven design and event-driven architecture are inherently flexible and scalable, allowing organizations to build systems based on actual usage and needs. Well-built event-driven architectures maximize your system's responsiveness, performance, scalability, and elasticity, while domain-driven design helps you collaborate with domain experts, tapping into their existing mental models and consequently building deep insight into the problems you're trying to solve. Unfortunately, with all this power comes a fair amount of complexity--building an event-driven architecture and fully grokking domain-driven design are both really hard. But this event can help. Whether you're examining the viability of these concepts or trying to make the most of an ongoing implementation, these sessions offer expert guidance on maximizing their value to your organization. What you'll learn and how you can apply it Understand how to design, build, and evolve adaptive systems and team structures for a fast flow of change Learn what the future holds for event-driven architecture This live course is for you because... You're a software architect or developer working on or thinking about working on event-driven architectures and want to learn best practices. You want to learn more about domain-driven design (DDD) and the collaboration between developers and domain experts to ensure the right thing is built. Recommended follow-up: Read Learning Domain-Driven Design (book) Read Building Event-Driven Microservices (book) Watch Domain-Driven Design Distilled (video course).

Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.

Abstract: About Architectural Katas: What could be better than practicing software architecture with your handpicked dream team of architects? Participants in Architectural Katas, moderated by Neal Ford, work together in small groups of their choosing to solve a challenge an actual organization is facing. Everyone gets the chance to practice their craft with a real software architecture problem in a safe and social environment, and the finalists and winners earn well-deserved bragging rights (not to mention an intriguing line on their résumé). Plus a selected organization will have some of its gnarliest software architecture problems solved. How it works: You put together a first-rate team of three to five people, ready to tackle an architecture challenge. We'll share the architecture problem with you at the kickoff. Then your team will have to solve it, working in whatever way is best for you (video calls, group chat, shared docs, etc.). Teams will submit their solutions and reconvene at the semifinals to find out which will move on to the finals. At the finals, the teams will submit video presentations and the audience will vote on the winner. Series schedule: Event 1: Kickoff - October 19, 2023 Meet the judges, hear all the details on how Architectural Katas works, learn more about the software architecture problem you'll be solving, and get the chance to ask Neal any questions you may have. Event 2: Semifinals and Architectural Presentation - November 14, 2023 Get a master class on presentation skills and learn how to successfully showcase software architecture plans to developers and stakeholders (and judges). You'll also find out the top teams that will submit their video presentations for the final event. Event 3: Finals - December 4, 2023 The top teams' videos are shown, judges provide feedback, attendees vote for their favorite, and judges announce the winner. What you'll learn: Identify and design architectural components Explore techniques to analyze and select the right architecture patterns Learn how to diagram and document an architectural solution Develop better communication skills to champion architecture decisions to developers and stakeholders This event is for you if... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You're responsible for creating a software architecture for your company, and you want to practice with a real-world challenge. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices, second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book).

Abstract: This course covers a wide array of foundational topics, providing a thorough understanding of the diverse aspects of IT. It starts with the basics of operating systems, delving into the intricacies of Microsoft Windows, Apple macOS, and GNU/Linux. As you progress, you'll explore the requirements for various business and productivity software, alongside essential collaboration tools. The course also demystifies the complexities of web browser settings and programming concepts, focusing on Python development. The journey continues with an in-depth look at hardware, including CPUs, common and peripheral devices, and storage solutions. You'll gain insights into basic networking concepts and learn to configure wireless routers, understanding different connection and service types. The course also covers vital database and security principles, offering a comprehensive view of table design, querying databases, and security best practices. As you delve into the intricacies of troubleshooting methodology and examples, you'll not only prepare for the FC0-U61 exam but also acquire skills crucial for real-world IT challenges. This course is designed to empower you with the knowledge and confidence needed to excel in today's tech-driven landscape. What you will learn Understand diverse Operating Systems Navigate Business Software requirements Learn about CPUs and Hardware essentials Explore Peripheral and Display Devices Acquire Basic Networking skills Explore Database Design and Querying Audience This course is ideal for beginners and professionals keen on IT fundamentals. Basic computer literacy is beneficial. Perfect for those preparing for the CompTIA IT Fundamentals+ exam or seeking a solid foundation in IT principles. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Ronnie Wong: Ronnie Wong has had a diverse career, from diesel service and ministry to computer repair and network administration in small businesses. He set up networks and servers and created policies in these roles. As an Edutainer at ITProTV, now ACI Learning, he started as an IT technical instructor, later working as a contract trainer for the University of Florida, Marion County School Systems, and Nationwide Insurance. He provided Cisco, Microsoft Windows, CompTIA, and IT security training to military and DoD personnel. Now the Director of Content Development at ACI Learning, Ronnie's credentials include CCNP Enterprise Infrastructure, CCNA, CompTIA's A+, Network+, Security+, ISC2 CC, CNA Security, and PCNSA. Don Pezet: Don Pezet, with over 25 years in IT, brings rich experience from his time as a field engineer in finance and insurance, supporting networks globally. A Linux enthusiast, he's skilled in Red Hat and Ubuntu, and has a long-standing connection with macOS and Apple products since the mid-90s. For the last 15 years, Don has dedicated himself to IT education, co-founding ITProTV in 2012 to provide top-tier IT training. As ACI Learning's CPO, he continues to deliver innovative training to IT professionals. His credentials include Microsoft MCSE, Amazon ACSA, Cisco CCNP, LPI LPIC-2, PMI PMP, and several CompTIA certifications like A+, Network+, Security+, and Linux+.

Abstract: This course begins with a comprehensive exploration of cloud service models and deployment strategies, equipping professionals with the knowledge to navigate complex cloud environments. You'll deepen your understanding of cloud characteristics and remote connections, crucial for managing and executing cloud services effectively. This course also focuses on the intricate details of cloud network and storage concepts, ensuring you're well-versed in the technical underpinnings that make cloud computing so transformative. Learn to assess the financial implications of cloud technology and navigate vendor relationships, giving you an edge in cloud adoption and migration strategies. The course wraps up with a robust overview of cloud security and compliance, highlighting best practices in data protection and risk management. By integrating DevOps into your cloud repertoire, you'll emerge with a skill set that not only prepares you for the CompTIA Cloud Essentials+ exam but also for a successful career in cloud computing. What you will learn Enhance knowledge of cloud models Implement advanced cloud solutions Manage cloud security and compliance Strategize cloud financial planning Integrate DevOps in cloud practices Execute informed cloud migrations Audience Professionals with foundational cloud knowledge will find this course ideal for advancing their skills. It's suited for those with a grasp of basic IT principles, seeking to deepen their cloud expertise and prepare for the CompTIA Cloud Essentials+ exam. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Wes Bryan: Wes Bryan embarked on his IT career path in 2009, initially as a mentored learning instructor, and later transitioning into a technical IT instructor. His exceptional teaching skills were recognized with three global teaching awards for 'Global Technical Instructor' during his early teaching years. Wes has made notable contributions as a member of the CIN (CompTIA Instructor Network) Advisory Board and the Board of Directors for CompTIA AITP (Association of Information Technology Professionals). Certifications: CompTIA A+, Network+, Security+, Server+, Cloud+, CySA+; MCSA; MTA; MCTS; MCP; MS; MCT. Sophie Goodwin: Sophie Goodwin's background spans over eight years as a film and voice talent, with experience in eLearning content, independent films, TV & web commercials, and video games. She joined ACI Learning while completing her BS in Telecommunication at the University of Florida. Apart from her work as an Edutainer, Sophie is also involved in other aspects of the entertainment industry. Distinctions: Bachelor of Science in Telecommunication, Voice-Over Talent Certification: (ISC)_ CC: Certified in Cybersecurity.

Abstract: The course begins with a comprehensive look at mobile and desktop operating systems, delving into Windows, macOS, and Linux, setting you up with a versatile foundation in OS management. You'll explore installation requirements, system utilities, and command-line tools essential for today's IT professionals. The course focuses on enhancing your security knowledge, covering the spectrum from malware to social engineering, and enforcing best practices in workstation and mobile security. It also addresses the intricacies of securing web browsers and handling OS issues. The course wraps up by equipping you with critical skills for change management, backup strategies, and developing robust incident response capabilities, ensuring you're prepared to handle the complexities of IT environments. What you will learn Configure diverse operating systems Enhance system security protocols Resolve software application issues Secure network and web environments Organize IT documentation efficiently Implement backup and recovery methods Audience The course is ideal for individuals venturing into the IT field, requiring a foundational grasp of system operations and security. Suitable for those seeking CompTIA A+ certification, enhancing their troubleshooting and operational prowess. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Wes Bryan: Wes Bryan embarked on his IT career path in 2009, initially as a mentored learning instructor, and later transitioning into a technical IT instructor. His exceptional teaching skills were recognized with three global teaching awards for 'Global Technical Instructor' during his early teaching years. Wes has made notable contributions as a member of the CIN (CompTIA Instructor Network) Advisory Board and the Board of Directors for CompTIA AITP (Association of Information Technology Professionals). Certifications: CompTIA A+, Network+, Security+, Server+, Cloud+, CySA+; MCSA; MTA; MCTS; MCP; MS; MCT. Ronnie Wong: Ronnie Wong has had a diverse career, from diesel service and ministry to computer repair and network administration in small businesses. He set up networks and servers and created policies in these roles. As an Edutainer at ITProTV, now ACI Learning, he started as an IT technical instructor, later working as a contract trainer for the University of Florida, Marion County School Systems, and Nationwide Insurance. He provided Cisco, Microsoft Windows, CompTIA, and IT security training to military and DoD personnel. Now the Director of Content Development at ACI Learning, Ronnie's credentials include CCNP Enterprise Infrastructure, CCNA, CompTIA's A+, Network+, Security+, ISC2 CC, CNA Security, and PCNSA.

Abstract: Linux for Beginners A hands on and practical introduction of Linux This early release (ongoing) course will give you a foundational knowledge to quickly get started with Linux. You will learn practical examples packaged in easy-to-follow videos that give you just enough knowledge to use Linux. There is a strong focus on using the terminal exclusively for this course, which is the best way to ensure a wide variety of Linux environments can be used with almost no difference in concepts. The course will not cover deep Linux internals or advanced usage. It will also not go through specialized scenarios that are meant to pass a Linux certification. Learn objectives Use a terminal to navigate the file system Understand different Linux versions and use readily available versions without installing Linux Use a shell with common features Create and edit files using a terminal text editor Manage system processes and services Install and remove packages About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.

Abstract: This video series covers live coding with TensorFlow and the Rust language.

Abstract: Assimilate ONNX Learning about ML Model portability During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 Getting started with ONNX. In this live coding session I was able to get both resnet and ONNX working in Rust with Sonos/Trac. Learning Objectives Learn to work with ONNX models Learning to build solutions with ONNX models in Rust Learning the key syntax and features ONNX models Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.

Abstract: DevOps command-line tools in Python and Rust Use both Python and Rust to automate systems engineering tasks In this introductory course, you will learn how to build powerful command-line tools using Python and Rust. You will discover how to set up a development environment, incorporate user input, expand functionality using modules and libraries, and optimize performance for common DevOps and Systems Engineering tasks. Whether you're new to programming or an experienced developer, this course will teach you the fundamentals of building command-line tools using Python and Rust. By the end of the course, you'll have the skills to automate tasks and improve the efficiency of your DevOps and Systems Engineering workflows. This course includes GitHub repositories that you can use as a reference for all the learning content: Python CLI Examples Rust CLI Examples Learn objectives Set up a development environment for building command-line tools. Build basic command-line tools. Expand the functionality of command-line tools using modules and libraries. Create a simple command-line tool using Rust and understand the basic structure of a Rust-based CLI tool. Incorporate user input, such as arguments and options. Learn how to organize code into modules and packages, and work with dependencies and libraries in both Python and Rust. About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.

Abstract: Introduction to MLflow for MLOps Learn how to use MLflow for managing the machine learning lifecycle. Track experiments, package models, and deploy to production. In this course you'll learn how to use MLflow - an open source platform for managing the machine learning lifecycle. You'll learn how to: Install MLflow and explore its components like the UI, tracking, and model packaging Log metrics, parameters, and artifacts to track ML experiments Create reproducible ML projects with MLflow for repeatable model training Package models and dependencies for deployment and serving Use model registries to version, stage, and deploy models Deploy models to tools like Azure ML and SageMaker This course includes hands-on exercises, projects, and real-world examples so you can apply your new MLflow skills immediately. Use the reference repository for MLFlow examples and projects: Example MLFlow Projects Learning objectives Install and configure MLflow Use the tracking UI and APIs Log metrics, parameters, tags, and artifacts Create reproducible ML projects Version, stage, and deploy models with registries Deploy models to Azure ML, SageMaker, etc Lesson 1: Introduction to MLflow Lesson Outline Overview of MLflow components Installation and configuration Tracking experiments with UI, Python, R APIs Logging metrics, params, tags, artifacts Lesson 2: MLflow Projects Lesson Outline Motivation for reproducible ML projects Creating project directories Running projects locally or on Git Customizing execution environments Lesson 3: MLflow Models Lesson Outline Packaging models and dependencies Model versioning with registries Staging and promoting model stages Deploying models to services About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to work with MLFlow and apply it to MLOps tasks. Resources Pytest Master Class Practical MLOps book.

Abstract: Rust Data Engineering: Course Description Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you. While a fundamental knowledge of Rust is expected, you should ideally be comfortable with the basics of data structures and algorithms, and have a working understanding of databases and data processing. Familiarity with SQL, the command line, and version control with git is advantageous. This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems. The journey begins with a deep dive into Rust's data structures and collections, followed by exploring Rust's safety and security features in the context of data engineering. In the subsequent week, you'll explore libraries and tools specific to data engineering like Diesel, async, Polars, and Apache Arrow, and learn to interface with data processing systems, REST, gRPC protocols, and AWS SDK for cloud-based data operations. The final week focuses on designing and implementing full-fledged data processing systems using Rust. By the end of this course, you will be well-equipped to use Rust for handling large-scale data engineering tasks, solving real-world problems with efficiency and speed. The hands-on labs and projects throughout this course will ensure you gain practical experience, putting your knowledge into action. This course is your gateway to mastering data engineering with Rust, preparing you for the next level in your data engineering journey. Learning Rust During Live Coding This video series covers live coding the Rust language iteratively, thus learning the language. Lessons Covered Include: Section 1: Rust Data Structures: Collections Lesson 1: Getting Started With The Modern Rust Development Ecosystem Meet the instructor & Course Overview: 1.0-meet-instructor-course-overview.mp4 Introduction to the AI Coding Paradigm Shift: 1.1-ai-pair-programming-paradigm-shift.mp4 Introduction to cloud-based development environments: 1.2-GitHub-Codespaces-Ecosystem-with-copilot-chat.mp4 Introduction to GitHub Copilot Ecosystem for Rust: 1.3-copilot-enabled-rust.mp4 Prompt Engineering with GCP BigQuery SQL: 1.4-big-query-prompt-engineering.mp4 Introduction to AWS CodeWhisperer for Rust: 1.5-aws-codewhisperer-for-rust.mp4 Using Google Bard to Enhance Productivity: 1.6-using-bard-to-enhance-productivity.mp4 Continuous Integration with Rust and GitHub Actions: 1.7-continuous-integration-rust-github-actions.mp4 Lesson 2: Rust Sequences and Maps Introducing Rust Sequences and Maps: 1.8-rust-sequences-maps.mp4 Print Rust data structures demo: 1.9-Print-Rust-data-structures-demo.mp4 Vector Fruit Salad demo: 1.10-Vector-Fruit-Salad-demo.mp4 VecDeque Fruit Salad demo: 1.11-VecDeque-Fruit-Salad-demo.mp4 Linkedin List Fruit Salad demo: 1.12-Linkedin-List-Fruit-Salad-demo.mp4 Fruit Salad CLI demo: 1.13-Fruit-Salad-CLI-demo.mp4 HashMap frequency counter demo: 1.14-HashMap-frequency-counter-demo.mp4 HashMap language comparison: 1.15-HashMap-language-comparison.mp4 Lesson 3: Rust Sets, Graphs and Miscellaneous Data Structures Analyzing UFC Fighter Network Using Graph Centrality in Rust: 1.16-ufc-graph-centrality.mp4 Storing Unique Fruits Using HashSet in Rust: 1.17-unique-fruits-with-hashset.mp4 Maintaining Sorted and Unique Fruits Using BTreeSet in Rust: 1.18-sorted-unique-fruits-with-btreeset.mp4 Creating a Fig Priority Fruit Salad Using Binary Heap in Rust: 1.19-fig-priority-fruit-salad-with-binary-heap.mp4 PageRank algorithm for sports data: 1.20-pagerank-sports.mp4 Showing shortest path with dijkstra: 1.21-shortest-path.mp4 Detecting Strongly Connected Components: A Deep Dive into Kosaraju's Algorithm: 1.22-strongly_connected_components_with_kosaraju.mp4 Simple Charting of Data Structures in Rust: 1.23-ascii-graphing.mp4 Section 2: Safety, Security and Concurrency with Rust Lesson 1: Rust Safety and Security Features Multi-Factor Authentication: 2.1_Multi-Factor_Authentication.mp4 Network Segmentation: 2.2_Network_Segmentation.mp4 Least Privilege Access: 2.3_Least_Privilege_Access.mp4 Encryption: 2.4_Encryption.mp4 Mutable fruit salad: 2.5-mutable-fruit-salad.mp4 Customize fruit salad with a CLI: 2.6-customize-csv-fruit-salad.mp4 Data Race example: 2.7-data-race.mp4 Lesson 2: Security Programming with Rust High Availability: 2.10-high-availability.mp4 Understanding the Homophonic Cipher: A Cryptographic Technique: 2.11-homphonic-cipher.mp4 Decoding the Secrets of the Caesar Cipher: 2.12-caesar-cipher.mp4 Building a Caesar Cipher Command Line Interface: 2.13-caesar-cipher-cli.mp4 Creating a Decoder Ring: A Practical Guide: 2.14-decoder-ring.mp4 Detecting Duplicates with SHA-3: A Data Integrity Tool: 2.15-sha3-dupe-detector.mp4 Incident Response: 2.16-incident-response.mp4 Compliance: 2.17-compliance.mp4 Lesson 3: Concurrency with Rust Core Concepts in Concurrency: 2.20-core-concepts-concurrency.mp4 Dining Philosophers: 2.21-dining-philosopher.mp4 Web Crawl Wikipedia with Rayon: 2.22-web-crawl-wikipedia-rayon.mp4 Intelligent Chatbot with Tokio: 2.23-tokio-chatbot.mp4 Multi-threaded deduplication with Rust: 2.24-data-eng-with-rust-dedupe.mp4 Energy Efficiency Python vs Rust: 2.25-energy-efficiency-python-rust.mp4 Concurrency Stress test with a GPU: 2.26-building-cuda-enabled-stress-test-with-rust-pytorch.mp4 Host Efficiency Serverless Optimization problem: 2.27-host-efficiency-optimization-problem.mp4 Section 3: Rust Data Engineering Libraries and Tools Lesson 1: Using Rust to Manage Data, Files and Network Storage Process CSV files in Rust: 2.31-process-csv-rust.mp4 Using Cargo Lambda with Rust: 2.33-cargo-lambda-rust.mp4 List files on AWS EFS with Rust: 2.34-rust-efs-lister.mp4 Use AWS S3 Storage: 2.35-use-s3-storage.mp4 Use AWS S3 Storage from Rust: 2.36-use-rust-for-s3-storage.mp4 Write encrypted data to tables or Parquet files: 2.37-Write-encrypted-data-to-tables-or-Parquet-files.mp4 Lesson 2: DataFrames with Rust, Python and Notebooks What is Colab?: 2.40-what-is-colab.mp4 Using Bard to enhance notebook development: 2.41-using-bard-to-enhance-productivity.mp4 Exploring Life Expectency in a Notebook: 2.42-life-expectancy-eda.mp4 Load a DataFrame with sensitive data: 2.43-Load-a-DataFrame-with-sensitive-information.mp4 Using MLFlow with Databricks Notebooks: 2.44-mlops-mlflow-tracking.mp4 End to End ML with MLFlow and Databricks: 2.45-end-to-end-ml-with-mlflow-and-databricks.mp4 Comparing DataFrame Libraries between Rust and Python: 2.46-comparing-dataframe-libs-rust-python.mp4 Lesson 3: Data Engineering Libraries and Tools with Rust Parquet file writing and reading with Rust: 2.50-parquet-read-write-rust.mp4 Arrow & Parquet in Rust: 2.51-arrow-parquet-rust.mp4 Serverless functions with Rust and AWS Lambda: 2.52-serverless-rust-aws-lambda.mp4 Polars library overview: 2.53-polars-library-overview.mp4 Building RESTful APIs with Rocket: 2.54-building-restful-apis-rocket.mp4 Utilizing Async Rust in Web Development: 2.55-utilizing-async-rust-web-development.mp4 Applying Data Cleaning Techniques with Rust: 2.56-applying-data-cleaning-rust.mp4 Deploying Rust Applications in a Kubernetes Environment: 2.57-deploying-rust-apps-kubernetes.mp4 Section 4: Designing Data Processing Systems in Rust Lesson 1: Getting Started with Rust Data Pipelines (Including ETL) Jack and the Beanstalk Data Pipelines: 4.1-jack-beanstalk-building-data-pipelines.mp4 Open Source Data Engineering - Pros and Cons: 4.2-open-source-de-pro-con.mp4 Core Components of Data Engineering Pipelines: 4.3-core-components-data-engineering-pipelines.mp4 Rust AWS Step Functions Pipeline: 4.4-rust-aws-step-functions.mp4 Rust AWS Lambda Async S3 Size Calculator: 4.5-rust-async-s3-size-calculator-lambda.mp4 What is Distroless: 4.6-what-is-distroless.mp4 Demo Deploying Rust Microservices on GCP: 4.7-demo-build-deploy-rust-microservice-cloud-run.mp4 Lesson 2: Using Rust and Python for LLMs, ONNX, Hugging Face, and PyTorch Pipelines Introduction to Hugging Face Hub: 4.10-intro-hugging-face-hub.mp4 Rust PyTorch Pre-trained Model Ecosystem: 4.11-rust-pytorch-pretrained-models-ecosystem.mp4 Rust GPU Hugging Face Translator: 4.12-rust-gpu-hugging-face-translator.mp4 Rust PyTorch High-Performance Options: 4.13-high-performance-pytorch-rust-demo.mp4 Rust CUDA PyTorch Stress Test: 4.14-building-cuda-enabled-stress-test-with-rust-pytorch.mp4 EFS ONNX Rust Inference with AWS Lambda: 4.15-efs-onnx-lambda-rust-inference-mlops.mp4 Theory behind model fine-tuning: 4.16-intro-fine-tuning-theory.mp4 Doing Fine Tuning: 4.17-doing-fine-tuning.mp4 Lesson 3: Building SQL Solutions with Rust, Generative AI and Cloud Selecting the correct database on GCP: 4.20-gcp-optimize-d...