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  • 2020-2024  (34)
  • 1990-1994
  • Gift, Noah  (34)
  • Amazon Web Services (Firm)  (34)
  • 1
    Online-Ressource
    Online-Ressource
    AI and LLMs on AWS (2024)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr., 59 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 006.3
    Schlagwort(e): Amazon Web Services (Firm) ; Artificial intelligence Computer programs ; Application software ; Artificial intelligence ; Intelligence artificielle ; Logiciels ; Logiciels d'application ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 5, 2024)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
    MPI Ethno. Forsch.
  • 2
    Online-Ressource
    Online-Ressource
    Live coding AWS CodeWhisper (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (19 min.)) , sound, color.
    Ausgabe: [First edition].
    Serie: Codewhisperer
    DDC: 005.3
    Schlagwort(e): Amazon Web Services (Firm) ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learning Generative AI with AWS CodeWhisperer During Live Coding This video series covers live coding in various languages iteratively, thus learning the language. Lessons Covered Include 1.0 Getting started with Bash and Rust using AWS CodeWhisperer, VSCode, and AWS Toolkit for VSCode Learning Objectives Learn the fundamentals of Generative AI Learn to build AI-powered solutions with Bash, Rust, and AWS services Master the key syntax and features of Bash and Rust languages 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.
    Anmerkung: "Live coding.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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  • 3
    Online-Ressource
    Online-Ressource
    DEVELOPING ON AWS WITH C# : a comprehensive guide on using C# to build solutions on the AWS platform (2023)
    [Erscheinungsort nicht ermittelbar] : O'REILLY MEDIA
    Details
    ISBN: 9781492095835 , 1492095834
    Sprache: Englisch
    Seiten: 1 online resource
    Paralleltitel: Erscheint auch als
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; C# (Computer program language) ; Cloud computing ; Application software Development
    Kurzfassung: Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS. Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective. Get started building solutions with C# on AWS Learn DevOps best practices for AWS Explore the development tools and services that AWS provides Successfully migrate a legacy .NET application to AWS Develop serverless .NET microservices on AWS Containerize your .NET applications and move into the cloud Monitor and test your AWS .NET applications Build cloud native solutions that combine the best of the .NET platform and AWS.
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online-Ressource
    Online-Ressource
    AWS certified security-specialty exam prep : SCS-C02 (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (6 min.)) , sound, color.
    Ausgabe: [First edition].
    Serie: Rough draft
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: AWS Certified Security - Specialty Exam Prep This video series provides comprehensive preparation for the AWS Certified Security - Specialty (SCS-C02) exam. Lessons Covered Include: Domain 1: Threat Detection and Incident Response 1.0 Introduction 1.1 Designing and Implementing Incident Response Plans 1.2 Detecting Security Threats and Anomalies with AWS Services 1.3 Responding to Compromised Resources and Workloads 1.4 Automating Incident Response with AWS Lambda 1.5 Conducting Root Cause Analysis with Amazon Detective 1.6 Capturing Forensics Data from Compromised Resources 1.7 Querying Logs to Validate Security Events 1.8 Preserving Forensic Artifacts with S3 Object Lock 1.9 Preparing and Recovering Services After Incidents 1.10 Incident Response Case Study 1.11 Practice Exam - Threat Detection and Response 1.12 Threat Detection and Incident Response Summary Learning Objectives Understand best practices for incident response in the cloud Explore AWS services to detect security threats Learn how to respond to compromised resources Domain 2: Security Logging and Monitoring 2.0 Introduction 2.1 Designing and Implementing Monitoring and Alerting 2.2 Troubleshooting Security Monitoring and Alerting 2.3 Designing and Implementing Logging Solutions 2.4 Troubleshooting Logging Solutions 2.5 Designing Log Analysis Solutions 2.6 Configuring AWS CloudTrail for Logging 2.7 Analyzing Logs with Amazon Athena 2.8 Monitoring Case Study 2.9 Practice Exam - Logging and Monitoring 2.10 Optimizing Log Storage Lifecycles 2.11 Third Party Log Analysis Tools 2.12 Security Logging and Monitoring Summary Learning Objectives Understand how to set up monitoring and alerts for security Learn best practices for logging and log analysis Gain skills in troubleshooting logging and monitoring Domain 3: Infrastructure Security 3.0 Introduction 3.1 Designing and Implementing Edge Service Security 3.2 Designing and Implementing Network Security 3.3 Designing and Securing Compute Workloads 3.4 Troubleshooting Network Security 3.5 Securing EC2 Instances with SSM 3.6 Scanning Images for Vulnerabilities 3.7 Infrastructure Security Case Study 3.8 Practice Exam - Infrastructure Security 3.9 Integrating AWS Firewall Manager 3.10 Applying Security Best Practices to Lambdas 3.11 Hardening AMIs with EC2 Image Builder 3.12 Infrastructure Security Summary Learning Objectives Learn how to secure AWS network infrastructure Understand options for compute and workload security Gain skills in troubleshooting infrastructure issues Domain 4: Identity and Access Management 4.0 Introduction 4.1 Designing Authentication for AWS Resources 4.2 Designing Authorization for AWS Resources 4.3 Troubleshooting with IAM Access Analyzer 4.4 Enforcing Least Privilege Access 4.5 Separating Duties with IAM Roles 4.6 Identity and Access Management Case Study 4.7 Practice Exam - Identity and Access Management 4.8 Securing Root User Credentials 4.9 IAM Policy Simulator for Troubleshooting 4.10 Enabling Federated Access with SSO 4.11 Managing Credentials and Secrets 4.12 Identity and Access Management Summary Learning Objectives Master IAM best practices for authentication and authorization Understand how to apply least privilege and separation of duties Learn to troubleshoot IAM issues Domain 5: Data Protection 5.0 Introduction 5.1 Data in Transit Confidentiality and Integrity 5.2 Data at Rest Confidentiality and Integrity 5.3 Managing Data at Rest Lifecycles 5.4 Protecting Credentials, Secrets, and Keys 5.5 Encrypting Data with AWS KMS 5.6 Data Protection Case Study 5.7 Practice Exam - Data Protection 5.8 Enforcing Data Retention with Glacier 5.9 Preventing Data Deletion with S3 Object Lock 5.10 Rotating RDS Credentials 5.11 Encrypting Data in Transit with SSL/TLS 5.12 Data Protection Summary Learning Objectives Learn techniques to protect data in transit and at rest Understand how to manage data lifecycles Gain skills in managing credentials and secrets Domain 6: Management and Security Governance 6.0 Introduction 6.1 Strategies for Central Account Deployment 6.2 Secure and Consistent Cloud Deployment 6.3 Evaluating Compliance of AWS Resources 6.4 Identifying Security Gaps through Reviews and Cost 6.5 AWS Organizations SCP Best Practices 6.6 Governance Case Study 6.7 Practice Exam - Governance 6.8 Automating Security Deployments 6.9 Tagging Resources for Governance 6.10 AWS Config for Security Assessments 6.11 AWS Well Architected Tool 6.12 Governance and Security Management Summary Learning Objectives Understand best practices for governing accounts and resources Learn how to align security with organizational requirements Gain skills in compliance, auditing, and deployment Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification AWS Solutions Architect Professional (SAP-C02) 2023 Assimilate Python From Zero.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
    MPI Ethno. Forsch.
  • 5
    Online-Ressource
    Online-Ressource
    Achieving scalability with Vector, Graph, and key/value databases (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.7
    Schlagwort(e): Amazon Web Services (Firm) ; Database management ; Database design ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Infonuagique ; Logiciels d'application ; Développement ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: 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.
    Anmerkung: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed October 17, 2023)
    URL: lizenzpflichtig
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  • 6
    Online-Ressource
    Online-Ressource
    Rust AWS Lambda (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr., 31 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Rust (Computer program language) ; Cloud computing ; Web applications Development ; Application software Development ; Computer architecture Design ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: 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.
    Anmerkung: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
    URL: lizenzpflichtig
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  • 7
    Online-Ressource
    Online-Ressource
    Learn to containerize algorithms deploy to AWS with App Runner (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr., 15 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner. 00:00 Intro 00:38 Github Code Repo of Traveling Salesman Problem 02:00 Overview of Cities in Problem 04:50 Launching Github Codespaces to work on problem 06:30 Cleaning up the code and fixing Makefile and Lint 09:30 Running simulations and minimizing the cost 14:00 Pinning version numbers in requirements.txt 16:00 Setup Github Actions 19:00 Fixing Python Black error 21:32 Create Github Actions Status Badge 25:00 Creating FastAPI Microservice 28:00 Building Greedy Coin Change Microservice 36:00 Deploying Python FastAPI Microservice to AWS with App Runner 46:00 Theory of logic to containerization 51:00 Building Containerized C# Service in AWS Cloud9 and App Runner 01:03:44 Testing via Curl in AWS CloudShell 01:06:00 Building Containerized FastAPI Service in AWS Cloud9 and App Runner 01:11:03 Pushing to Amazon ECR 01:14:00 Testing via FastAPI App Runner API with Swagger UI.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    Online-Ressource
    Online-Ressource
    Helping humans at scale : continuous delivery of Hugo on AWS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (20 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to use Hugo a popular Go-based content management system to deploy global-scale websites on AWS. 00:00 Intro 00:53 The need to spread information that helps humans at scale 02:26 Hugo Continuous Delivery with AWS CodeBuild workflow diagram 06:04 AWS CodeBuild 06:38 AWS Cloud9 07:56 Download Hugo and run it locally 09:40 Follow Hugo's Quickstart guide 11:36 Edit inbound rules for Cloud9 to preview running Hugo website 13:10 Looking at the buildspec.yml file for continuous delivery of Hugo website with AWS S3 and Cloudfront and Route 53 14:52 Walkthrough of AWS S3 static hosting 15:45 Walkthrough of AWS CodeBuild continuous delivery for Hugo console settings.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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  • 9
    Online-Ressource
    Online-Ressource
    52 Weeks of AWS : the complete series (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (14 hr., 23 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: 52 Weeks of AWS-The Complete Series Master AWS with weekly episodes on all significant AWS certifications This video series covers all major AWS Certification exams, from the AWS Certified Developer Associate to the AWS Certified Solutions Architect. Lessons Include: 1.0-52-weeks-aws-introduction 2.0-52 Weeks AWS Episode 2-Getting Started with AWS 3.0-52 Weeks of AWS_ Episode 3_ AWS Cloud Practitioner Part 1 4.0-52 Weeks of AWS-Episode 4-Global-Infrastructure-AWS Cloud Practitioner Part 2 5.0-52 Weeks of AWS Episode 5_ Cloud Practitioner Part3 + Network and Content Delivery, Compute_Storag 6.0-52 Weeks of AWS Live Stream_ Episode 6-Final AWS CP Certification Walkthrough 7.0-52 Weeks of AWS-Episode 7_ Developing on AWS 8.0-Episode 8 52 weeks of AWS 9.0-52 weeks AWS episode 9 solutions architect-Beginning 10.0-52 Weeks AWS_ Episode 10-Compute 11.0-52 Weeks AWS_ Episode 11- Solutions Architect-Database 12.0-52 Weeks AWS_ Episode 12-Solutions Architect-Networking 13.0-52 Weeks AWS_ Episode 13-Solutions Architect-Connecting Networks 14.0-52 Weeks of AWS Episode 9_AWS Cookbook 16.0-Weeks AWS_ Episode 16-)Solutions Architect-Securing-Users 17.0-Weeks AWS_ Episode 17-Solutions Architect Continued-Elasticity 18.0-52 Weeks AWS_ Episode 18-Solutions Architect Continued-Automate Infra 19.0-52 Weeks AWS_ Episode 19-Solutions Architect Continued-Caching Content 20.0-52 Weeks AWS_ Episode 20-SA- Continued-Building Decoupled Architectures 21.0-52 Weeks AWS_ Episode 21-SA- Building Microservices 22.0-52 Weeks AWS_ Episode 22-SA-Planning for Disaster 23.0-52 Weeks AWS_ Episode 23-SA-Bridging to Certification 24.0-52 Weeks AWS_ Episode 24-AWS ML Certification-Welcome to ML foundations 25.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk2-Introduction to ML 26.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker-Part2 27.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker 28.0-52 Weeks AWS_ Episode 27-AWS ML Certification_ Continued 29.0-52 Weeks AWS_ Episode 28-AWS ML Certification Continued 30.0-52-weeks-aws-Episode-29-AWS-ML-Certification-Conclusions 29-AWS Certified Machine Learning Engineering-Conclusion Topics Covered Include: AWS MLOps AWS Certified Cloud Practitioner AWS Certified Solutions Architect AWS Certified Machine Learning AWS Certified Developer 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
    URL: lizenzpflichtig
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  • 10
    Online-Ressource
    Online-Ressource
    Assimilate AWS with Python (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (2 hr., 32 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.13/3
    Schlagwort(e): Amazon Web Services (Firm) ; Python (Computer program language) ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Assimilate AWS with Python Master AWS by Coding with Python in this ongoing series This video series covers mastering AWS in Python from the absolute beginning with incremental weekly lessons. Follow along for a deep dive into programmatically mastering AWS with Python. 1.0 Assimilate AWS by using Github Copilot and Github Codespaces to build solutions for S3, Apigateway and Click. 2.0 refactor boto3 code build translation click tool Assimilate AWS By Coding 3.0 Assimilate AWS By Coding EP3 Bash CloudEnvs Containers: Use Bash to build CloudEnvs and Containers Topics Covered Include: Python Basics Github Repo for Assimilate AWS 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 11
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    Online-Ressource
    Functions to containerized microservice continuous delivery [to AWS App Runner with Fast API] (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (34 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to deploy containerized Microservices using Cloud9, ECR, App Runner and FastAPI automatically with AWS Code 00:00 0:37 Continuous Delivery Architecture 01:06 AWS App Runner 01:41 Building Containerized Microservices with FastAPI 03:22 Pinning requirements.txt to a specific version 06:10 Running FastAPI 10:40 Setup ECR 14:19 Setup ECR with AWS App Runner 16:10 Create containerized Flask API Microservice in Github Codespaces 18:54 Testing Swagger UI in Github Codespaces 20:11 Verify FastAPI Microservice in AWS App Runner 22:20 Setup AWS Code Build for Continuous Deployment with App Runner 30:12 Architectural Overview of Continuous Deployment 32:35 Verify Continuous Deployment with AWS Code Build and App Runner.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 12
    Online-Ressource
    Online-Ressource
    Using PowerShell to script EC2 with AWS CloudShell (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (5 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Windows PowerShell (Computer program language) ; Streaming video ; Internet videos ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to script EC2 by using PowerShell inside of AWS CloudShell. I use AWSPowerShell.NetCore to query how many availability zones are available in my AWS region. 00:00 Intro 00:42 AWS Console 01:16 Invoking PowerShell inside of AWS CloudShell 01:33 Checking out AWS PowerShell Gallery 02:00 Importing via Import-Module AWSPowerShell.NetCore 03:00 Query All AWS Availability Zones in Region 03:30 Filter and Count by using a PowerShell Object with .count.
    Anmerkung: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 13
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    Online-Ressource
    AWS certified advanced networking : ANS-C01 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (26 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 006.7/8
    Schlagwort(e): Amazon Web Services (Firm) Study guides Examinations ; Electronic data processing personnel Study guides Examinations ; Electronic data processing personnel Certification ; Computer technicians Study guides Examinations ; Amazon Web Services (Firm) ; Electronic data processing personnel ; Certification ; Examinations ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: AWS Certified Advanced Networking - Specialty (ANS-C01)-2023 Learning AWS Certified Advanced Networking This video series the AWS Certified Advanced Networking Certification 2023 Lessons Covered Include: 1.0 course intro 1.1 sap prerequisite 1.2 Domain intro 1.3 CDN Pattern 1.4 ELB Design 1.5 Amazon API Gateway 1.6 Route 53 Demo 1.7 Public vs Private Hosted Zones DNS-DEMO 1.8 Load Balancing Layer 3, 4, 7 of OSI Model 1.9 Cloudwatch Metrics Demo 1.1 Layer 1/2 concepts: VLAN, Jumbo Frames 1.11 Multiple AWS Accounts 1.12 VPC Peering 2.0 domain intro 2.1 Infrastructure Automation (IAC) with CDK Demo 2.2 Hybrid Networks 2.3 Authentication and Authorization 2.4 Network Monitoring 2.5 Traffic Management DNS 2.6 AWS Boto3 Cloud9 CodeWhisper Demo 2.7 AWS CLI Demo 3.0 domain intro 3.1 Quotas and Limits in AWS Networking 3.2 Inter-Regional communication patterns 3.3 Network performance testing tools- demo 3.4 VPC Flow logs - Demo 3.5 Different types of Network interfaces AWS 3.6 High-Availability via Route 53 4.0 domain intro 4.1 common security threats 4.2 network acls 4.3 AWS Cloud Trail - Demo 4.4 AWS Trusted Advisor Demo 4.5 Network encryption options AWS 4.6 AWS Shared Security Model 5.0 conclusion Learning Objectives Network Design (25%) Network Implementation (25%) Network Management and Operations (25%) Network Security, Compliance, and Governance 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 14
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    Cloud-Native C# web services with AWS, CLOUD9, ECR and App Runner (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (8 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; C (Computer program language) ; Infonuagique ; C (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to use pure Cloud-Native tools to developer AWS Microservices in .NET 6.0. These services include: Cloud9, ECR, App Runner and Cloudshell. 00:00 Intro 00:43 AWS Microservices Architecture 02:00 Github C# Project Structure 02:23 AWS Cloud9 03:00 Building Docker Images for .NET 6 Web Service 04:00 Push to ECR 05:00 Setup AWS App Runner 06:47 Test service with AWS Cloudshell.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 15
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    Online-Ressource
    Getting started with AWS Lambda and step functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (18 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to build AWS Step Functions with Python and AWS Lambda. Use AWS Cloud9 to test your code locally and the Step Functions console to deploy your code to AWS. 00:00 Intro 00:22 Create AWS Lambda 02:49 Build Fruit Generator 05:01 Create New Test Event 07:18 Invoke AWS Lambda in Cloud9 09:32 Create AWS Step Functions 10:51 Create Second AWS Lambda 11:57 Create test payloads for second AWS Lambda 13:00 Build out the second AWS Lambda logic 15:11 Test bad logic condition 15:30 Build out chain reaction of AWS Step Functions.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 16
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    Online-Ressource
    Continuous delivery of global scale Hugo Static Site on AWS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (45 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to use AWS to continuously deploy a Hugo site that has global scale. 00:00 Intro 02:00 Create Github Repo 05:52 Launch AWS Cloud9 05:58 Download Hugo binary 11:00 Create Hugo Quickstart 17:00 Adding submodules for theme 23:00 Building Hugo locally and running it in Cloud9 26:00 Setup AWS S3 Static Hosting 30:30 Setup AWS CloudBuild for Continuous Delivery of Hugo 40:00 Verify Hugo deploy works.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 17
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    Online-Ressource
    Assimilate Hugging Face (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr., 52 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Assimilate Hugging Face Learn Hugging Face weekly by example This video course will show you how to build real-world applications with Hugging Face. Topics Covered Include: 1.0 Assimilate Hugging Face EP1 build cli tool summarize codespaces 2.0 Assimilate Hugging Face EP2 Building CLI Summarizer gradio webapp Learning Objectives Build a CLI tool that invokes models with Hugging Face Use Github Codespaces to code alongside Github Copilot. Additional Popular Resources 52 Weeks of AWS-The Complete Series 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 18
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    Online-Ressource
    AWS solutions architect professional (SAP-C02) 2023 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (3 hr., 58 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: AWS Solutions Architect Professional (SAP-C02) 2023 Learn from AWS Certification Author, Five Time O'Reilly Author and AWS ML Hero Noah Gift Getting certified by AWS can be a big boost for your career in cloud application development and hybrid architectural design. In this course, a four-part certification prep series--instructor Noah Gift, an AWS ML Hero, shows you the skills you need to know to prepare for and tackle the AWS Certified Solutions Architect Professional exam (SAP-C02). Discover the benefits of the AWS Certified Solutions Architect Professional certification, which validates your ability to design, deploy, and evaluate applications on AWS within diverse, complex requirements. Learn about the two question formats you'll encounter on the exam, the exam content outline, the scoring rubric, and the recommended prerequisites for aspiring candidates. Along the way, Noah reviews cross-account authentication and access strategy, designing networks, and setting up multi-account AWS environments. In Domain 1: Design Solutions for Organizational Complexity, you learn: What you need to know about AWS networking concepts, hybrid DNS concepts, and network segmentation. What you need to be skilled in troubleshooting traffic flows and utilizing service endpoints. Finally, you learn to develop a strategy for centralized security event In Domain 2: Design for New Solutions, you learn to design a deployment strategy to: meet business requirements ensure business continuity determine security controls, design a system to meet reliability requirements optimize costs In Domain 3: Continuous Improvement for Existing Solutions, you learn to determine a strategy to improve overall operational excellence. This process may include alerting and automatic remediation strategies, disaster recovery planning, monitoring and logging solutions, and CI/CD pipelines and deployment strategies. Finally, you determine a system to improve security and how to handle data retention. In Domain 4: Accelerate Workload Migration and Modernization, you learn to be familiar with tools and services for workload migration and modernization, including: assessment and tracking tools portfolio assessment asset planning prioritization and migration of workloads data migration options and tools application migration tools AWS networking services and DNS identity services databases Lessons Include: Learning Objectives This course covers the following learning objectives: Studying for the AWS Certified Solutions Architect Professional exam (SAP-C02) Mastering advanced AWS with Hands on screencasts of popular AWS services Understanding the AWS Certified Solutions Architect Professional exam (SAP-C02) 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 19
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    Online-Ressource
    GitHub copilot driven : Python devops from functions to continuous delivery of microservices on AWS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (3 hr., 1 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Application software Development ; Python (Computer program language) ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: GitHub Copilot Driven: Python DevOps from Functions to Continuous Delivery of Microservices on AWS Learn to use Python for DevOps and build a GitHub copilot driven microservice on AWS Noah Gift is the author of a course on Python for DevOps using GitHub Copilot. He explains how to deal with the file system, how to set up continuous integration, and how to build command line tools that help you automate your workflow. Noah explains some of the tools for building DevOps workflows on GitHub and wraps the course up with a FastAPI Microservice deployed on AWS using AWS App Runner. Topics Covered Include: Containers GitHub Actions GitHub Copilot GitHub Codespaces AWS App Runner Containers FastAPI Continous Integration and Continous Delivery Python DevOps DevOps Skills with the Python Ecosystem 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.
    Anmerkung: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 20
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    Online-Ressource
    AWS certified machine learning : specialty (MLS-C01)-2023 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (2 hr., 31 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 006.3/1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing Study guides Examination ; Web services Study guides Examinations ; Machine learning Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: AWS Certified Machine Learning - Specialty (MLS-C01)-2023 Learn to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam This video series prepares you to pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam. The AWS Certified Machine Learning - Specialty (MLS-C01) exam is a pass or fail exam. The exam is scored against a minimum standard established by AWS professionals who follow certification industry best practices and guidelines. Domain 1: Data Engineering 1.0 course intro 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 domain one intro 1.8 data storage 1.9 determine storage medium 1.10 using s3 demo 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo Domain 2: Exploratory Data Analysis 2.0 domain intro Sanitize and prepare data for modeling 2.1 cleanup data 2.2 scaling data 2.3 labeling data 2.4 mechanical turk labeling Perform feature engineering 2.5 identify extract features 2.6 feature engineering concepts Analyze and visualize data for machine learning 2.7 graphing data 2.9 clustering Conclusion 2.10 conclusion Domain 3: Modeling 3.0 domain intro Frame business problems as machine learning problems 3.1 when to use ml 3.2 supervised vs unsupervized 3.3 selection right ml solution Select the appropriate model(s) for a given machine learning problem 3.4 select models 3.5 sagemaker canvas demo Train machine learning models 3.6 train test split 3.7 optimization 3.8 compute choice Perform hyperparameter optimization 3.14 neural network architecture Evaluate machine learning models 3.18 overfitting vs underfitting 3.19 selecting metrics 3.22 compare models experiment tracking Conclusion 3.23 Conclusion Domain 4: Machine Learning Implementation and Operations 4.0 course intro Build machine learning solutions for performance, availability, scalability, resiliency, and fault 4.1 logging monitoring 4.2 multiple regions 4.3 reproducible workflow 4.4 aws flavored devops Recommend and implement the appropriate machine learning services and features for a given 4.5 provisioning ec2 4.5 compute choices 4.6 provisioning ebs 4.7 aws ai ml services Apply basic AWS security practices to machine learning solutions. 4.9 plp aws lambda 4.10 integrated security Deploy and operationalize machine learning solutions 4.13 sagemaker workflow 4.14 doing predictions with sagemaker canvas 4.16 retrain models Conclusion 5.0 course conclusion Topics Covered Include: Domain 1: Data Engineering Domain 2: Exploratory Data Analysis Domain 3: Modeling Domain 4: Machine Learning Implementation and Operations 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.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 21
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    Online-Ressource
    AWS storage solutions 2022 : EBS/S3/EFS/Glacier (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.4/3
    Schlagwort(e): Amazon Web Services (Firm) ; Virtual storage (Computer science) ; Cloud computing ; Ordinateurs ; Mémoires virtuelles ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to use AWS Storage Solutions Correctly. Hi, my name is Noah gift, and today I'm going to talk about AWS storage systems. We're going to talk about the elastic box system where EBS, also S3, the object storage system, which has unlimited data storage, and also EFS, the elastic file system. And finally, offsite backup, and also archiving systems with glacier, we're also going to do some demos of those products. Let's go ahead and get started. This video shoes both theory and hands on demos. * EBS (Elastic Block Storage) * EFS (Elastic File System) * S3 (Object Storage) * Glacier (Archiving) 00:00 Intro 00:49 Storage Module Overview 03:00 What is EBS? 11:00 EBS Demos 30:00 What is S3? 38:00 S3 Demos 48:00 Boto3 S3 Demos 49:00 What is EFS? 51:47 What is AWS Glacier?.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 22
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    Online-Ressource
    Getting started with cloud pipelines with AWS Lambda and AWS step functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (17 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to build cloud pipelines with AWS Step Functions 00:00 Intro 01:00 Create AWS Lambda function in Python 04:00 Create return statement that returns JSON depending on type of event 05:49 Test the AWS Lambda function 08:00 Build a second AWS Lambda function that can parse first function 13:00 Create AWS Step Function that consumes both AWS Lambda functions for Pipeline.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 23
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    Online-Ressource
    52 weeks of AWS : Episode 24: MLcert intro, week 1 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (16 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 006.3/1
    Schlagwort(e): Amazon Web Services (Firm) Certification ; Machine learning Study and teaching ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Study and teaching ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to pass the AWS ML Certification 00:00 Intro 03:00 AWS ML Certification Course Outline 05:21 What is the Data Scientist role? 05:58 Machine Learning engineer 06:33 Applied science researcher 07:08 Machine learning developer role 08:05 Resources and documentation 10:48 AWS SageMaker Studio Lab 13:18 AWS Machine Learning Lens.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
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  • 24
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    Online-Ressource
    52 Weeks of AWS : AWS ML certification; Part 2: What is ML? (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (31 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Artificial intelligence ; Web services ; Amazon Web Services (Firm) ; Artificial intelligence ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to pass the AWS ML Certification Part 2 00:00 Intro 01:56 Artificial intelligence, machine learning, and deep learning. 02:34 Artificial Intelligence 03:10 Machine Learning 03:58 Deep learning 05:11 ML and technology advancements 06:00 Common ML Use Cases 08:14 Types of machine learning 09:21 Supervized learning 10:17 Computer vision 11:08 Unsupervized learning 12:44 Natural language processing 13:20 Reinforcement learning 14:34 Self-driving vehicles 15:04 When to use machine learning 15:35 ML pipeline: Business 16:23 ML pipeline: Data preparation 17:22 ML pipeline: Iterative model training 18:01 ML pipeline: Feature Engineering 19:25 ML pipeline: Model Training 20:18 ML pipeline: Evaluating and tuning the model 21:00 Overfitting and underfitting 22:48 Python tools and libraries 24:57 ML Frameworks 25:50 Amazon SageMaker 26:42 Machine learning managed services 28:30 Machine learning challenges.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 25
    Online-Ressource
    Online-Ressource
    Applied Hugging Face (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (1 hr.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Applied Hugging Face Learn to use Hugging Face to solve real-world problems 1.0 Introduction to Applied Hugging Face Course 1.1 Introduction to Hugging Face Hub: models, datasets, spaces and access tokens 1.2 Using GPU enabled Codespaces 1.3 Using Hugging Face CLI 1.4 Working with Datasets 1.5 Working with Models 2.0 Introduction to Transformers and Fine-tuning vs Supervized Learning (Transfer Learning) 2.1 Using Hugging Face with GitHub GPU-enabled Codespaces for Fine-tuning 3.0 Introduction to Hugging Face Spaces 3.1 Using Hugging Face Spaces 3.2 Deploying Hugging Face Spaces applications with GitHub Actions Topics Covered Include: Hugging Face Hugging Face Models Hugging Face Transformers Hugging Face Spaces Hugging Face Datasets GPU-enabled GitHub Codespaces OpenAI Whisper Hugging Face Tutorial 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.
    Anmerkung: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 26
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    52 weeks AWS : Episode 18: Solutions architect continued-automate infra (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (20 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Infonuagique ; Services Web ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Continue learning about Solutions Architect certification this time with automation. Opsworks, Beanstalk, Chef and Cloud Formation. 00:00 Intro.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    MPI Ethno. Forsch.
  • 27
    Online-Ressource
    Online-Ressource
    52 weeks of AWS : Episode 21: Building microservices (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (30 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 006.7/6
    Schlagwort(e): Amazon Web Services (Firm) ; Web applications ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: In this episode of 52 weeks of AWS I continue to cover the solutions architect certification. The topic of building Microservices is the focus today. 00:00 Intro 00:38 Discuss new weekly office hours from noahgift.com for O'Reilly books and Coursera courses. 02:00 What are Microservices? 03:35 What are Microservices? 04:00 Characteristics of Microservices 06:00 What is a container? 09:00 ECS orchestration 11:00 Decomposing monolithic applications 12:32 AWS Fargate 13:00 What is serverless? 15:00 AWS Serverless offerings 15:30 AWS Lambda 23:00 AWS API Gateway 26:00 AWS Step Functions
    Anmerkung: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 28
    Online-Ressource
    Online-Ressource
    52 weeks of AWS : Episode 17: SA continued-securing users (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (26 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) Study guides Examinations ; Cloud computing Study guides Examinations ; Web services Study guides Examinations ; Amazon Web Services (Firm) ; Infonuagique ; Examens ; Guides de l'étudiant ; Services Web ; Examens ; Guides de l'étudiant ; Examinations ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Continue learning about Solutions Architect certification with the topic of Elasticity. 00:00 Intro 02:00 Reactive architectures 04:39 What is elasticity? 06:00 Scaling horizontal vs vertical 12:35 DynamoDB scaling 15:00 Highly available systems 17:00 Route53 19:16 Monitoring.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
    MPI Ethno. Forsch.
  • 29
    Online-Ressource
    Online-Ressource
    52 weeks of Amazon Web Services : Episode 19: Solutions architect caching (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (26 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn about caching content in the next episode of 52 weeks of AWS 00:00 Intro 00:40 Trading capacity for speed 03:00 Why Cache? 06:00 CloudFront 12:00 DDoS mitigation 14:00 Sticky sessions 17:00 Side Caches 20:00 Memcached versus Redis 21:09 Caching Strategies.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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    Online-Ressource
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  • 30
    Online-Ressource
    Online-Ressource
    52 weeks AWS : planning for disaster; Episode 22: Solutions Architect (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (27 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 004.67/82
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Episode 22 covers the preparing for Disasters. 00:00 Intro 02:37 Planning for failures 03:34 Avoiding and planning for disasters 05:37 Using the Well-Architected Framework design principles 05:51 Recovery Point objectives (RPO) 06:34 Recovery time objective (RTO) 07:12 Plan for disaster recovery 08:03 Storage and backup building blocks 09:50 S3 Cross-Region replication 10:41 EBS volume snapshots 11:41 File system replication 12:50 Compute Capacity recovery 13:44 Strategies for disaster recovery 15:01 Networking design for resilience 15:34 Databases and recovery 16:45 Automation Services: CloudFormation, Elastic Beanstalk and AWS OpsWorks 17:38 Four disaster recovery strategies: Backup and restore, Pilot light, Warm Standby and Multi-site 18:23 AWS Storage Gateway 24:00 Summary of common DR patterns.
    Anmerkung: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 31
    Online-Ressource
    Online-Ressource
    52 Weeks AWS : Episode 13: Sa cert-databases (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (30 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Kurzfassung: Learn to pass the AWS Solutions Architect Exam by learning about Databases 00:00 Intro 03:21 Storage Requirements 07:41 RDS Characteristics 12:03 RDS Demo 16:00 DynamoDB 19:21 DynamoDB Demo 23:40 DynamoDB Demo with AWS CloudShell and Boto3 and Python.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 32
    Online-Ressource
    Online-Ressource
    Fifty-two weeks of AWS : Episode 26: Sagemaker pipeline (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (28 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Sagemaker pipelines and the AWS ML Certification 00:00 Intro 03:00 Define business objectives 05:00 Problem framing 07:20 Problem formulation 11:10 What data do you need? 12:37 Observations 14:15 Storing data in AWS 16:21 ETL 17:41 Securing data 19:19 Loading data into pandas 20:18 Descriptive statistics 23:25 Feature selection and extraction 24:40 Encoding ordinal data 25:48 Cleaning data 26:39 Missing values.
    Anmerkung: TItle details screen lists the episode as 25, actual video is for episode 26. - Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
    URL: lizenzpflichtig
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  • 33
    Online-Ressource
    Online-Ressource
    52 Weeks of AWS : Episode 25: AWS ML Cert-Sagemaker pipelines, part 2 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (35 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Learn to pass the AWS ML Certification with a deep dive into Part 2 of the Sagemaker Pipelines material. 00:00 Intro 02:39 Drop missing values 04:46 Outliers 06:57 Feature selection 10:55 File formats for machine learning 13:46 K-fold cross validation 15:55 Training models with Amazong SageMaker 17:33 XGBoost 19:29 Is your model ready to deploy? 22:05 Creating an endpoint 23:26 Machine learning pipeline 25:30 Confusion matrix 27:27 Sensitivity 29:02 Classification report: ROC graph 30:51 Hyperparameter categories 32:06 Sagemaker hyperparameter tuning.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 34
    Online-Ressource
    Online-Ressource
    52 weeks AWS : Episode 19: Solutions architect-decouple (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Sprache: Englisch
    Seiten: 1 online resource (1 video file (28 min.)) , sound, color.
    Ausgabe: [First edition].
    DDC: 005.1
    Schlagwort(e): Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Kurzfassung: Continue to learn about AWS Solutions Architecture on the topic of Decoupling 00:00 Intro 04:00 Forms of decoupling 07:00 SQS 12:00 SQS Use Cases 19:27 SNS 23:21 SNS vs SQS.
    Anmerkung: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
    URL: lizenzpflichtig
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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