Kurzfassung: This book presents the first volume of the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Kurzfassung: This book presents the proceedings of the 12th World Conference "Intelligent systems for industrial automation", WCIS-2022 held in Tashkent, Uzbekistan, on November 25-26, 2022. It includes contributions from diverse areas of intelligent industrial systems design, intelligent information systems, decision making under imperfect information and others. The topics of the papers include hybrid control systems, pattern recognition, industry 4.0, information security, neural computing, fuzzy computation, decision making and support systems, and others.

Kurzfassung: Critical Review of Computational Intelligence in Project Management -- Conversational Systems and Computational Intelligence, a critical analysis -- Fuzzy cognitive maps, extensions and applicability as an explanatory artificial intelligence model -- Project scheduling a critical review of both traditional and metaheuristic technique -- Systematic Review of Augmented Reality (AR) And Bim for The Management of Deadlines, Costs and Quality -- Assessing Adoption Archetypes of Advanced Technologies in Industrial Clusters -- Computational Intelligence in Project Planning and Monitoring -- Combining EDA and Simulated Annealing strategies in Project Scheduling Construction.

Kurzfassung: This book is dedicated to all those interested in the application of artificial intelligence in engineering and project management. Most of the jobs are focused on achieving agile project development. New algorithms that combine various computational intelligence techniques are applied in different areas of knowledge in project management. In this book, computational intelligence is presented as the branch of AI that encompasses various techniques aimed at simulating human tolerance in decision-making processes in environments with uncertainty and imprecision. Among the precursor techniques of computational intelligence are: evolutionary algorithms, artificial neural networks, fuzzy set theory, and fuzzy systems. However, other areas such as the rough set, linguistic data summary, natural language processing, the conversational systems, fuzzy cognitive maps, collective intelligence, the neutrosophic theory, and other fuzzy logic extensions are contributing to the application and extension of computational intelligence The book is organized into three parts, as shown below. The first part constitutes a critical review of computational intelligence in project management. The second part presents new computational intelligence techniques and their applications in project planning, control, and monitoring processes. In particular, the use of conversational systems and their applicability in the agile management of portfolio programs and projects stand out. Part three of the book exemplifies the use of computing techniques with words and other computational intelligence techniques for organizational decision-making. The authors of the book stand out for their extensive experience in the development of basic and applied applications of computational intelligence. The authors Janusz Kacprzyk, Pedro Y. Piñero Pérez, Rafael E. Bello Pérez, and Iliana Pérez Pupo have published several books associated with artificial intelligence and computational intelligence applied to projects. They continue working on fundamental-oriented and applied research on different artificial intelligence techniques to help with decision-making in different areas of knowledge. Authors would like to thank all the engineers, professors, and researchers without whose efforts this book could not have been written. .

Kurzfassung: Chapter 1. Large language models for data extraction in slot-filling tasks -- Chapter 2. Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof -- Chapter 3. Survival Signature for Reliability Quantificationof Large Systems and Networks -- Chapter 4. Using Resizing Layer in U-net to Improve Memory Efficiency -- Chapter 5. Multiprocessor task scheduling with probabilistic task duration -- Chapter 6. On-line scheduling multiprocessor tasks in the non-predictive environment -- Chapter 7. Solving a Vehicle Routing Problem for a real-life parcel locker-based delivery -- Chapter 8. Hammering test for tile wall using AI -- Chapter 9. Models of Resilient Systems with Online Verification Considering Changing Requirements and Latent Failures -- Chapter 10. Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games -- Chapter 11. Preliminary Study on the Detection of Subtle Variations in Image Sequences for Identifying False Starts in Speedway Racing -- Chapter 12. Bibliometric Analysis of the Application of Artificial Intelligence in Renewable Energy Sources: Trends -- Chapter 13. Impact of the statistics of the learning data on the performance of a recommendation system based on MovieLens data -- Chapter 14. Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification -- Chapter 15. Wireless employee safety monitoring system with measurement of biomedical parameters -- Chapter 16. Artificial Intelligence Methods for Pet Emotions Recognition -- Chapter 17. Parallel Swarm Intelligence: Efficiency Studywith Fast Range Search in Euclidean Space -- Chapter 18. Digital Transformation Impacts on Industry 4.0 Evolution -- Chapter 19. Optimization of procurement strategy supportedby simulated annealing and genetic algorithm -- Chapter 20. Tumor volume measurements in animal experiments: current approaches and their limitations -- ....etc.

Kurzfassung: This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks. The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.

Kurzfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.

Kurzfassung: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.

Kurzfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings‘ caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.

Kurzfassung: This book encapsulates the innovative discussions held during the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), which took place at Mohammed 6 University of Sciences and Health Casablanca, Morocco. This book delves into the multifaceted realm of advanced intelligent systems, specifically focusing on digital health technology. The book offers a comprehensive exploration of cutting-edge research and breakthroughs in this dynamic field, providing a holistic perspective on the latest advancements. Within these pages, you will find papers covering an array of captivating topics, including AI-driven diagnostics, wearable health devices, predictive analytics in health care, and much more. Each contribution delves into the synergy of intelligent systems and digital health, showcasing how these technologies intertwine to shape the future of healthcare. Designed for researchers, practitioners, and enthusiasts alike, this book serves as an invaluable resource for staying updated on the latest trends and developments in the intersection of advanced intelligent systems and digital health technology. Whether you are seeking to broaden your knowledge or seeking practical insights, this book caters to a diverse readership eager to harness the potential of these innovative domains.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: Development of information technologies for the research of technical systems -- On Mikhailov stability conditions for a class of integer- and commensurate fractional-order discrete-time systems -- Verification of a Building Simulator in Real Experiments -- Aspects of measurement data acquisition and optimization in the energy transformation of industrial facilities -- Continuous-Time Dynamic Model Identification Using Binary-Valued Observations of Input and Output Signals -- Time Series Identification Using Monte Carlo Method.

Kurzfassung: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 1 comprises 37 chapters, which specifically address topics connected to modeling, identification, and analysis of automation systems, to design of control systems, and to fault diagnosis and fault-tolerant control. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Kurzfassung: H_infinity Stochastic State-Multiplicative Uncertain Systems-Robust Luenberger Filters -- Anticipating the Loss of Unknown Input Observability for Sampled LPV Systems -- Luenberger Observer Design for Robust Estimation of Battery State of Charge with Application to Lithium-Titanate Oxide Cells -- Fault Detection and Diagnosis of PV Systems Using Kalman-Filter Algorithm Based on Multi-Zone Polynomial Regression -- Parity-Space and Multiple-Model Based Approaches to Measurement Fault Estimation -- Online Condition Monitoring of a Vacuum Process Based on Adaptive Notch Filters.

Kurzfassung: The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.

Kurzfassung: Part 1. Fuzzy Recognition -- 01. Difficulties in recognizing flat shapes based on Fuzzy logic -- 2. The problem of parsing and recognizing individual objects of information on base of fuzzy Logic -- 3. Call Center and Robot Call Center How to Reduce the Cost -- 4. An intelligent method for optimizing calculations in the recognition of sound information.

Kurzfassung: This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.

Kurzfassung: Control Assessment with Moment Ratio Diagrams -- Bayesian Fault Diagnosis for Induction Motors During Startup in Frequency Domain -- Experimental Assessment for Radar-Based Estimation of Host Vehicle Speed during Traction Events -- Application of statistical methods to support automation of pricing in business -- Comparison of Data Depth calculation method for fault detection in electric signal -- The idea of technical predictive maintenance of utility buildings using text sources of information about the technical condition of buildings.

Kurzfassung: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Kurzfassung: Part 1. Soft Computing and Fuzzy Logic -- 1. Lotfi A. Zadeh’s Life and His Scientific Legacy -- 2. From Fuzzy Optimization to Possibilistic-Probabilistic Optimization with our Teacher Professor Lotfi Zadeh -- 3. Ideas of Lotfi Zadeh in Explainable Artificial Intelligence -- 4. Different Concepts, Similar Computational Complexity: Nguyen’s Results about Fuzzy and Interval Computations 35 Years. .

Kurzfassung: This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.

Kurzfassung: This volume is composed of selected papers from two conferences held in Warsaw, Poland on October 13-15, 2022: the BOS/SOR’2022 - National Conference on Operational and Systems Research, one of premiere conferences in the field of operational and systems research, and the Twentith International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, IWIFSGN-2022, one of premiere conferences on fuzzy logic, notably on extensions of the traditional fuzzy sets, also comprising a considerable part on the Generalized Nets (GNs). A joint publication of selected papers from the two conferences follows a long tradition of such a joint organization, and – from a substantial point of view – combines systems modeling, systems analysis, broadly perceived operational research, notably optimization, decision making and decision support, with various aspects of uncertain and imprecise information and their related tools and techniques.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: Using Blockchain in University Management Systems- state of art -- Graph Neural Networks to improve Knowledge Graph Embedding: A survey -- Tifinagh Handwritten Character Recognition Using Machine Learning Algorithms -- Maintenance prediction based on Long Short-Term Memory algorithm -- Towards an approach for studying the evolution of learners' learning in E-learning -- Chatbots Technology and its Challenges: An Overview -- Machine Learning, Deep Neural Network and Natural Language Processing based Recommendation System -- Artificial intelligence for fake news -- Traffic congestion and road anomalies detection using CCTVs images processing, challenges & opportunities -- Text-based Sentiment analysis -- Smart tourism destinations as complex adaptive systems: A theoretical framework of resilience and sustainability -- Machine learning algorithms for automotive software defect prediction -- Agile User Stories’ Driven Method: A Novel Users Stories Meta-model in the MDA Approach -- AI-based adaptive learning - State of the art -- A new Predictive analytics model to assess the employability of academic careers, based on genetic algorithms -- New approach for anomaly detection and prevention -- FunLexia: an Intelligent Game for Children with Dyslexia to Learn Arabic -- Artificial Neural Networks Cryptanalysis of Merkle-Hellman Knapsack Cryptosystem -- Using machine learning algorithms to increase the supplier selection process efficiency in supply chain 4.0 -- A new approach to intelligent-oriented analysis and design of urban traffic control: Case of a traffic light -- Spatio-temporal crime forecasting: Approaches, datasets, and comparative study -- Data migration from relational to NoSQL database : Review & Comparative study -- Recommendation system: technical study -- The appropriation of the agile approach in public sector: Modeling the achievement of good governance -- The contribution of Deep learning models: application of LSTM to predict the Moroccan GDP growth using drought indexes -- Natural Language Processing and Motivation for Language Learning -- Generating Artworks using One Class SVM with RBF kernel -- Multiobjective Evolutionary Algorithms for Engineering Design Problems -- Designing Hybrid Storage Architectures with RDBMS and NoSQL Systems: A Survey -- Analysis of the pedagogical effectiveness of teacher qualification cycle in Morocco: A Machine learning model approach -- Smart education – A case study on a simulation for climate change awareness & engagement -- Towards an E-commerce personalized recommendation system with KNN classification method -- Convolutional Long Short-Term Memory Network Model for Dynamic Texture Classification: A Case Study -- Towards an accident severity prediction system with Logistic Regression -- FUZZY C-MEANS Based Extended Isolation Forest for Anomaly Detection -- Fashion Image Classification using Convolutional Neural Network-VGG16 and eXtreme Gradient Boosting Classifier -- MentorBot: A Traceability-Based Recommendation Chatbot for Moodle -- Regularization in CNN: A mathematical study for L1, L2 and Dropout regularizers -- Shipment consolidation using K-means and a combined DBSCAN-KNN approach -- A new approach to protect Data in-Use at Document Oriented Databases -- A Dual Carriageway Smart Street Lighting Controller Based On Multi-Variate Traffic Forecast.-Blockchain-based Self Sovereign Identity Systems: high-level processing and a challenges-based comparative analysis -- Impact of Machine Learning on The Improvement of Accounting Information Quality -- NLP Methods' Information Extraction for Textual Data: An Analytical Study -- Handwriting recognition in historical manuscripts using a deep learning approach -- Artificial intelligence for a sustainable finance: A bibliometric analysis -- Geoparsing Recognition and Extraction from Amazigh corpus using The NooJ Complex Annotation Structures -- Agent-based merchandise management and real-time decision support systems -- Selecting the Best Moroccan Tourist Destination Using the Fuzzy Analytic Hierarchy Process -- Improving model performance of the prediction of online shopping using oversampling and feature selection -- Combining Descriptors for Efficient Retrieval in Databases Images -- TOWARDS AN EDUCATIONAL PLANNING INFORMATION SYSTEM IN BIG DATA ENVIRONMENT -- CNN-based Face Emotion Detection and Mouse Movement Analysis to Detect Student’s Engagement Level -- Data Cleaning in Machine Learning : Improving Real Life Decisions and Challenges -- Blockchain-Based Cloud Computing: Model-Driven Engineering Approach -- Student Attention Estimation Based on Body Gesture -- Cat Swarm Optimization Algorithm for DNA Fragment Assembly Problem -- DSGE AND ABM, TOWARDS A "TRUE" REPRESENTATION OF THE REAL WORLD? -- Predictive Hiring System: Information Technology Consultants Soft Skills -- Automated Quality Inspection Using Computer Vision: a Review -- A Comparative Study of Adaptative Learning Algorithms for Students’ Performance Prediction: Application in a Moroccan University Computer Science Course -- Pedestrian Orientation Estimation using Deep Learning -- Artificial intelligence application in drought assessment, monitoring and forecasting using available remote sensed data -- CSR communication through social networks: the case of committed brandbanks in Morocco -- Content-Based Image Retrieval Using Octree Quantization Algorithm -- Release Planning Process Model in Agile Global Software Development -- Developing a New Indicator Model to Trade Gold Market -- A new model indicator to trade Foreign Exchange market -- Improving Arabic to English Machine Translation -- Artificial Neural Network with Learning Analytics for Student Performance Prediction in Online Learning Environment -- Attentive Neural Seq2Seq for Arabic Question Generation -- Microservice-Specific Language, a step to the Low-code platforms -- Case Study of Economic Dispatch Problem in Smart Grid System -- Teaching Soft Skills online, what are the most appropriate pedagogical paradigms? -- Road Object Detection: A Case Study of Deep Learning-Based Algorithms -- A comparative review of Tweets Automatic Sarcasm Detection in Arabic and English -- Mobile payment as a lever for financial inclusion -- New Approach to Interconnect Hybride Blockchains -- A Variable Neighborhood Search (VNS) heuristic algorithm based classifier for credit scoring -- Application of Machine Learning Techniques To Enhance Decision Making Lifecycle -- A Smart interactive decision support system for real-time adaptation in the mobility strategy for optimization of the employee’s transportation -- A Hesitant fuzzy Holdout method for models’ selection in Machine Learning -- Interpretable Credit Scoring Model Via Rule Ensemble -- A New Distributed Architecture Based on Reinforcement Learning for Parameter Estimation in Image Processing -- Smart Sourcing Framework for Public Procurement Announcements Using Machine Learning Models -- An MCDM-Based Methodology for Influential Nodes Detection in a Social Network. Facebook as a Case Study -- A Predictive Approach based on Feature Selection to Improve Email Marketing Campaign Success Rate -- DIAGNOSIS AND ADJUSTMENT FOR SUSTAINABLE TOURISM.

Kurzfassung: This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.

Kurzfassung: This open access book presents the proceedings of the 10th Machine Intelligence and Digital Interaction Conference. Artificial intelligence (AI) is rapidly affecting more aspects of our lives as a result of significant advancements in its research and the widespread usage of interactive technologies. This has led to the birth of several new social phenomena. Many nations have been working to comprehend these phenomena and discover solutions for moving artificial intelligence development in the proper direction to benefit individuals and communities at large. These efforts necessitate multidisciplinary approaches, encompassing not only the scientific fields involved in the creation of artificial intelligence and human–computer interaction but also strong collaboration between academics and practitioners. Because of this, the primary objective of the MIDI conference, which was conducted online on December 13–15, 2022, is to combine two up until recently distinct disciplines of research—artificial intelligence and human–technology interaction.

Kurzfassung: Line Segmentation of Handwritten Documents Using Direct Tensor Voting -- Practical Approach to Introducing Parallelism in Sequential Programs -- The digital twin to train a neural network detecting headlamps failure of motor vehicles -- Dynamic change of tasks in multiprocessor scheduling -- Regression models evaluation of short-term traffic flow prediction -- Performance analysis of a real-time data warehouse system implementation based on open-source technologies -- Evaluating the Different Factors Affecting the Educational Attainment of Students at the Faculty of Information Technology at Jordan Universities -- Hammering test on a concrete wall using Neural Network -- Artificial intelligence methods in email marketing - a survey -- Detection of oversized objects in a video stream, exploiting an image classification approach using deep neural networks -- Reliability Model of Bioregenerative Reactor of Life Support System for Deep Space Habitation -- Safety assessment of maintained control systems with cascade two-version 2oo3/1oo2 structures considering version faults -- CPU signal rank-based disaggregation in Cloud computing environments -- Efficient Clustering-based Neighbourhood in Recommender Systems -- New approach to constructive induction - Towards Deep Discrete Learning -- Softcomputing Approach to Music Generation -- Identification of the Language UsingStatistical and Neural Approaches -- Smart data logger with continuous ECG signalmonitoring -- Movement Tracking in Augmented and Mixed Realities Impacting the User Activity in Medicine and Healthcare -- General provisioning strategy for local specialized cloud computing environments -- Tabular structures detection on scanned VAT invoices -- Automation of deanonymization queries for the Bitcoin investigations -- Structural models for fault detection of Moore finite state machines -- Application of generative models to augment IMU signals in gait biometric -- Ant colony optimization algorithm for finding the maximum number of d-size cliques in a graph with not always m-vertices in its d parts -- Partitioning of a m-part weighted graph with n vertices in each its part into n cliques with m vertices and the total minimum sum of their edges weights using ant algorithms -- A Study of Architecture Optimization Techniques for Convolutional Neural Networks -- Scheduling Resource to Deploy Monitors in Automated Driving Systems -- Power Analysis of BLAKE3 Pipelined Implementations in FPGA Devices -- Deep Learning ECG Signal Analysis: Description and Preliminary Results -- Deployment of Deep Models in NLP Infrastructure -- Analysis of handwritten texts to detect selected psychological characteristics of a person -- Architecting Cloud-Based Business Software - A Practitioner's Perspective.

Kurzfassung: The book includes papers about various problems of dependable operation of computer systems and networks, which were presented during the 18th DepCoS-RELCOMEX conference. Their collection can be an interesting source material for scientists, researchers, practitioners, and students who are dealing with design, analysis, and engineering of computer systems and networks and must ensure their dependable operation. The increasing role of artificial intelligence algorithms and tools in modern information technology and computer engineering, especially rapid expansion of tools based on deep learning methods, calls for extending our view on system dependability. Selection of papers in these proceedings not only illustrates a wide-ranging variety of multidisciplinary topics which should be considered in this context but also proves that virtually all areas of contemporary computer systems and networks must take into account an aspect of dependability.

Kurzfassung: 8 Hours of Video Instruction Overview Bash is the best way for you to efficiently and effectively execute commands in your daily work. It sounds difficult, but the beauty of Bash is that it is quick, powerful and not particularly complex. Bash Shell Scripting Complete Video Course is a full resource to obtaining the power of Bash. So whether you're new to shell scripting or an experienced developer, administrator, or user, this course will introduce you to the world of efficient scripting so you can get the job done. This 8-hour video course consists of 13 lessons in which all concepts that are relevant to Bash shell scripting are explained. It includes demos and exercises throughout that are relevant to Bash Shell scripting; these examples are relevant for anyone using Bash. This video course was designed to teach through clear training followed by practical examples that show how scripting solutions are being used in the real world. At the end of each lesson you will find an exercise that you should attempt on your own; this is then followed by a video explanation so you can see a real-time walkthrough of the exercise. Doing the work is the best way to learn Bash, and this course provides you with the tools to learn by doing. Topics include Shell scripting fundamentals Using conditional statements Advanced Bash scripting options Real-world scripting examples The GitHub associated with this LiveLesson can be found at https://github.com/sandervanvugt/bash-scripting . About the Instructor Sander van Vugt has many years of experience working with, writing about, and teaching Linux and open-source topics. He is the author of the best-selling Red Hat RHCSA Cert Guide and Red Hat RHCSA Complete Video Course , along with many other titles on topics that include RHCE, Bash, Kubernetes, Ansible, and more. Sander also works as a Linux instructor, teaching on-site and online classes for customers around the world. Skill Level Beginner to Intermediate Learn How To Write Bash script fundamentals Write Bash script fundamentals and advanced commands Write Bash shell scripts on intermediate and advanced commands Write your first hello world shell script See how to work with variables Use positional parameters Apply pattern matching substitution Explore looping structures in shell scripts Who Should Take This Course Developers and administrators who want to automate tasks using Bash shell scripts IT users and professionals who want to g...

Kurzfassung: Red Hat Certified Specialist in Containers and Kubernetes Complete Video Course: Red Hat EX180

Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. Certified Kubernetes Application Developer (CKAD), 2nd Edition

Kurzfassung: Getting Started with Containers Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Kurzfassung: 6+ Hours of Video Instruction Learn the most efficient way to manage and run Microservices in Kubernetes and Istio. Overview Microservices are the new development model for running complex applications. Building and Managing Microservices with Kubernetes and Istio LiveLessons will cover the topics you will need to run successful Microservices in Kubernetes and Istio. Building and Managing Microservices with Kubernetes and Istio LiveLessons starts with an overview of Microservices and why it is the right choice to run complex applications. The course will then discuss how to automatically implement Microservices using Kubernetes, a procedure that starts with source files in Git, before exploring topics of container images and how to build them efficiently. Lastly, it will also cover how to apply decoupling in Kubernetes for full implementation of automated and orchestrated Microservice environment. Instructor Sander van Vugt uses hands-on-labs to give you a deeper understanding of the topics covered in the course. About the Instructor Sander van Vugt has many years of experience working with, writing about, and teaching Linux and Open Source topics. He is the author of the best-selling Red Hat RHCSA Cert Guide and the Red Hat RHCSA Complete Video Course along with many other titles on topics that include RHCE, Bash, Kubernetes, Ansible and more. Sander also works as a Linux instructor, teaching on-site and on-line classes for customers around the world. Topics include: Understanding Microservices Using Git Containers QuickStart Understanding Container Orchestration and Service Mesh Getting Started with Kubernetes Creating Container-based Microservices in Kubernetes Getting Started with Istio Service Mesh Managing Microservices with Istio Service Mesh Skill Level Beginner to Intermediate Learn How To Manage source code for microservices Build custom container images Use Kubernetes technology to manage Microservices Use Service Mesh Who Should Take This Course This course is for anyone who wants to learn how to move from traditional applications that are installed on a server platform to orchestrated containers in a Microservices environment. The course is for developers and DevOps engineers who want to know what happens after the code is written, as well as administrators responsible for implementing the Microservices infrastructure. Course Requirements A computer with a recent operating system and at least 4GB RAM and 20GB...

Kurzfassung: Learn, prepare, and practice for Red Hat RHCSA 8 (EX200) exam success with this Cert Guide from Pearson IT Certification, a leader in IT Certification learning. * Master Red Hat RHCSA 8 EX200 exam topics * Assess your knowledge with chapter-ending quizzes and labs * Review key concepts with exam-preparation tasks * Practice with four unique practice tests * Learn from two full hours of video training from the authors Red Hat Certified System Administrator (RHCSA) Complete Video Course, 3rd Edition. Red Hat RHCSA 8 Cert Guide is a comprehensive exam study guide. Leading Linux consultant, author, and instructor Sander van Vugt shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. Material is presented in a concise manner, focusing on increasing your understanding and retention of exam topics. The book presents you with an organized test-preparation routine through the use of proven series elements and techniques. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. Review questions help you assess your knowledge, and a final preparation chapter guides you through tools and resources to help you craft your final study plan. The companion website also contains two additional practice tests plus two full hours of personal video training from the authors Red Hat Certified System Administrator (RHCSA) Complete Video Course , 3rd Edition. Well regarded for its level of detail, assessment features, and challenging review questions and exercises, this study guide helps you master the concepts and techniques that will enable you to succeed on the exam the first time, including * Basic system management: Installation, tools, file management, text files, RHEL8 connections, user/group management, permissions, and network configuration * Operating running systems: Managing software, processes, storage, and advanced storage; working with Systemd; scheduling tasks; and configuring logging * Advanced system administration: Managing the kernel and boot procedures, essential troubleshooting, bash shell scripting * Managing network services: Configuring SSH, firewalls, and time services; managing Apache HTTP services and SE Linux; accessing network storage; and managing containers

Kurzfassung: 11 Hours of Video Instruction Certified Kubernetes Administrator (CKA) Complete Video Course provides 11 hours of video instruction for IT professionals—including IT Administrators, DevOps Engineers, Software Developers, IT Architects, and Hybrid Cloud Administrators—preparing to take the CKA exam, which requires an in-depth knowledge of how to develop, create, manage, store, and troubleshoot Kubernetes applications. Overview Certified Kubernetes Administrator (CKA) Complete Video Course provides 11 hours of video instruction for IT professionals—including IT Administrators, DevOps Engineers, Software Developers, IT Architects, and Hybrid Cloud Administrators—preparing to take the CKA exam, which requires an in-depth knowledge of how to develop, create, manage, store, and troubleshoot Kubernetes applications. The course includes labs, demonstrations, and lightboard explanations by Sander van Vugt, who has presented on dozens of Linux and Kubernetes courses. He introduces containers and Kubernetes, and moves through the process of creation, managing, and storing applications. He provides labs on setting up and managing clusters, and you'll also learn how to troubleshoot Kubernetes applications and cluster nodes. Sander shows how to manage deployments, services, ingress, setting up storage, and walks through key troubleshooting scenarios. He ends the course with a sample exam for the user to practice before taking the real thing. Topics include: Module 1: Getting Started Module 2: Managing Pods and Deployments Module 3: Managing Kubernetes Clusters Module 4: Sample Exam About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide. Sander is also the author of more than 25 video courses, including Kubernetes Fundamentals . He teaches courses for customers around the world, and is also a regular speaker on major conferences related to open source software. Sander is also the founder of the Living Open Source Foundation, a non-profit organization that teaches open source to talent in different African countries. Skill Level Beginner/Intermediate Learn How To Best prepare to pass the Certified Kubernetes Application Developer (CKA) Exam Create a Kubernetes cluster Manage Pods and Deployments Manage Pod Storage and Networking Work with Ingress Work with the API Add custom resources Manage ...

Kurzfassung: 8+ Hours of Video Instruction Red Hat OpenShift Administration Complete Video Course: Red Hat EX280 provides an introduction in administrating OpenShift and prepares viewers to take the Red Hat exam EX280. Red Hat OpenShift Administration Complete Video Course: Red Hat EX280 provides an introduction in administrating OpenShift and prepares viewers to take the Red Hat exam EX280. This course provides in-depth training and hands-on labs exploring the ins and out of administering in OpenShift. Topics include management of cluster nodes, users, and role-based access control, as well as management of applications in an OpenShift environment. The Red Hat Certified Specialist in OpenShift Administration exam (EX280) tests the knowledge, skills, and ability to create, configure, and manage a cloud application platform using Red Hat® OpenShift® Container Platform. This engaging self-paced video training solution provides learners with more than 8 hours of video instruction from an expert trainer with years of providing practical Linux teaching experience. Through the use of topic-focused instructional videos, you will gain an in-depth understanding of all topics on the Red Hat OpenShift Administration EX280 exam, as well as a deeper understanding of Ansible. The combination of video and labs provides a unique offering that gives you a full toolkit to learn and excel on your exam. Topics include: Module 1: Managing OpenShift Clusters Module 2: Managing OpenShift Resources Module 3: Managing OpenShift Authentication and Access Module 4: Performing Operational Cluster Management Tasks Module 5: Red Hat Certified Specialist in OpenShift Sample Exam About the Instructor Sander van Vugt is an independent Linux specialist, living in the Netherlands with customers all over the world. Sander is teaching Linux classes since 1995 and has written more than 60 books about different Linux related topics, as well as more than 25 video courses. Sander is also actively working as a consultant, specialized in Linux High Availability, Performance and Security. Also, Sander is a regular speaker on major Linux conferences all over the world. Skill Level Intermediate Learn How To Manage a complete container-based datacenter Prepare for the EX280 Exam Set up Authentication Set up Authorization Create a Project Template Create a Project Run a TLS Secured Application Create a Passthrough Route Configure Autoscaling Configure MySQL Configure Wordpress Who Shou...

Kurzfassung: 9+ Hours of Video Instruction Certified Kubernetes Application Developer (CKAD) Complete Video Course provides more than 9 hours of video instruction for IT professionals preparing to take the CKAD exam, which requires an in-depth knowledge of how to develop, create, manage, store, and troubleshoot Kubernetes applications. Certified Kubernetes Application Developer (CKAD) Complete Video Course provides more than 9 hours of video instruction for IT professionals,Äìincluding IT Administrators, DevOps Engineers, Software Developers, IT Architects, and Hybrid Cloud Administrators,Äìpreparing to take the CKAD exam, which requires an in-depth knowledge of how to develop, create, manage, store, and troubleshoot Kubernetes applications. The course includes labs, demonstrations, and lightboard explanations by best-selling author and presenter Sander van Vugt. This course first provides a full introduction to containers and Kubernetes; it then moves through the process of creating, managing, and storing applications. The title provides labs for working with the API using curl, as well as using NameSpace and managing pods. You will also learn how to manage deployments, services, ingress, and setting up storage; and you will get a full walkthrough of key troubleshooting scenarios. The course ends with a sample exam so you can practice before taking the real test. Topics include: Module 1: Getting Started Module 2: Kubernetes Essentials Module 3: Building and Exposing Scalable Applications Module 4: Sample Exams About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide . Sander is also the author of more than 25 video courses, including Kubernetes Fundamentals . He teaches courses for customers around the world, and is also a regular speaker on major conferences related to open source software. Sander is also the founder of the Living Open Source Foundation, a non-profit organization that teaches open source to talent in different African countries. Skill Level Beginner/Intermediate Learn How To Best prepare to pass the Certified Kubernetes Application Developer (CKAD) Exam Run applications in containers Develop, create, manage, store, and troubleshoot Kubernetes applications Manage API options Manage pods Manage deployment and networking Manage ingress and storage Manage ConfigMaps and Secrets Troubleshoot Kuber...

Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. Hands-on Ansible

Kurzfassung: 9+ Hours of Video Instruction Certified Kubernetes Administrator (CKA) Complete Video Course provides more than 9 hours of video instruction for IT professionals–including IT Administrators, DevOps Engineers, Software Developers, IT Architects, and Hybrid Cloud Administrators–preparing to take the CKA exam, which requires an in-depth knowledge of how to develop, create, manage, store, and troubleshoot Kubernetes applications. The course includes labs, demonstrations, and lightboard explanations by Sander van Vugt, who has presented on dozens of Linux and Kubernetes courses. He introduces containers and Kubernetes, and moves through the process of creation, managing, and storing applications. He provides labs on setting up and managing clusters, and you'll also learn how to troubleshoot Kubernetes applications and cluster nodes. Sander shows how to manage deployments, services, ingress, and setting up storage, and walks through key troubleshooting scenarios. He ends the course with a sample exam for the user to practice before taking the real thing. Topics include: Module 1: Getting Started Module 2: Managing Pods and Deployments Module 3: Managing Kubernetes Clusters Module 4: Sample Exams About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide . Sander is also the author of more than 25 video courses, including Kubernetes Fundamentals . He teaches courses for customers around the world, and is also a regular speaker on major conferences related to open source software. Sander is also the founder of the Living Open Source Foundation, a non-profit organization that teaches open source to talent in different African countries. Skill Level Beginner/Intermediate Learn How To Best prepare to pass the Certified Kubernetes Application Developer (CKA) Exam Create a Kubernetes cluster Manage Pods and Deployments Manage Pod Storage and Networking Work with the API Manage scheduler settings Configure security Manage Kubernetes Networking Manage Cluster Nodes Troubleshoot Kubernetes Clusters and Applications Prepare for the CKA test Who Should Take This Course IT professionals that want to manage container deployment in their containerized devops environment using Kubernetes. Specifically: IT Administrators DevOps Engineers Software Developers IT Architects Hybrid Cloud Administrators Course Require...

Kurzfassung: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 8+ Hours of Video Instruction Modern Container-Based DevOps LiveLessons: Managing Microservices using Kubernetes and Docker is designed to explain containers and Microservices, as well as how to deploy them easily using Kubernetes. This course will guide the user through the procedure of moving to microservices step-by-step, first in theory, and then in practice, with the end-of-lesson Labs. Modern Container-Based DevOps LiveLessons: Managing Microservices using Kubernetes and Docker focuses on how to run microservices in Docker and Kubernetes by exploring all the vital components in a microservices architecture. After exploring them step-by-step, the end-of-lesson labs throughout the course will put them into practice. By the end of the course, the user will be able to build their own full microservice running on Kubernetes! The course starts by guiding the user through the concept of microservices, explaining fundamentals and other components in IT that play a vital role in obtaining a microservices architecture. It then digs deeper, including how to use Git, and work with and manage containers using Docker as well as Podman on RHEL 8. The course then covers how to perform daily container management tasks, and works its way through managing container images, storage, and networking. This will give you a solid understanding of the container fundamentals. The course then discusses implementing microservices with container orchestration platforms and how to work with Kubernetes. In the final lesson, microservices-oriented components that are offered by the Kubernetes platform will be covered, and the course project will be finalized, providing the user with the skills they can immediately apply in their day jobs! Topics include: Module 1: Microservices Essentials Overview Module 2: Managing Containers Module 3: Implementing Full Microservices with Container Orchestration Platforms About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide . Sander is also the author of more than 25 video cou...

Kurzfassung: 3+ Hours of Video Instruction Overview Hands-on Kubernetes LiveLessons is focused on teaching you real-world skills for configuration and deployment so you can get started with your Kubernetes projects today. This course focuses on you actually doing the work. This course provides more than 4 hours of hands-on tutorials in the form of lightboard explanations and demonstrations so you can immediately get started with Kubernetes. Up-front access to all configuration files is provided. The course is full of demonstrations, lightboard explanations, and real-world projects. Presented by Sander van Vugt, best-selling author and video presenter, this video course introduces containers and Kubernetes efficiently and quickly. You will move through the process of creation, management, and application storage in a little more than 4 hours. By the end of the course, you will have all the tools necessary to deploy real applications with Kubernetes. About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide . Sander is also the author of more than 25 video courses, including Kubernetes Fundamentals and Certified Kubernetes Application Developer (CKAD) . He teaches courses for customers around the world, and is also a regular speaker at major conferences related to open-source software. Sander is the founder of the Living Open Source Foundation, a nonprofit organization with a focus on teaching open source to talent in Africa. Skill Level Beginner/Intermediate Learn How To Containerize applications in Kubernetes by following just a few examples Understand Kubernetes in just a few hours Dip your toes into Kubernetes before focusing on the CKAD or CKA certification Who Should Take This Course System administrators who want to understand the workings of a Kubernetes cluster Developers who want to run their applications in Kubernetes Anyone interested in learning all you need to know about Kubernetes in just a few hours Course Requirements A virtual machine running a recent version of Fedora Workstation Lesson descriptions Lesson 1, "Understanding the Kubernetes Revolution," speaks to the evolution of Kubernetes and how it has become so important. It discusses server-based IT and how that has been made obsolete by the container revolution, and why Kubernetes makes a lot of sense when you are converti...

Kurzfassung: 6+ Hours of Video Instruction More than six and a half hours of video instruction, including demos and labs, on how to get started with Docker Containers running as replicated Pods in Deployments in a Kubernetes environment. Overview This all-new edition of Getting Started with Kubernetes offers a complete overview of everything needed to start working with Kubernetes. It starts by explaining what Kubernetes is all about, and then moves into an overview of working with containers. This course first demonstrates how to install Kubernetes and then walks the viewer through core Kubernetes components, including how to use them running applications in Pods and deployments. The course then moves through networking and storage, as well as the role of the Kubernetes API. Finally, it discusses how to run Kubernetes in the Enterprise, and how to troubleshoot it in case it doesn't work out well. Topics include: Understanding Kubernetes Container Fundamentals Installing Kubernetes Discovering Kubernetes Managing Kubernetes Applications Exposing Applications Configuring Storage Managing the Kubernetes API Running Kubernetes in the Enterprise Managing Kubernetes in the Enterprise Troubleshooting Kubernetes About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics, including the best-selling RHCSA-RHCE 7 Cert Guide . Sander is also the author of over 25 video courses, including the CKAD and CKA Complete Video Courses. He teaches courses for customers around the world, and is also a regular speaker on major conferences related to open source software. Sander is the founder of the Living Open Source Foundation, a non-profit organization that teaches open source to talent in different African countries. Skill Level Intermediate/experienced Linux administrators Learn How To Set up Kubernetes for container orchestration Use Docker within a Kubernetes environment Set up a lab, and use Minikube Work with kubectl and YAML files Deploy applications in Kubernetes Use pods and replica sets, and labels Manage Namespaces and deployments Scale deployments up and down Work with networking in a Kubernetes environment Network within a pod, and work with ingress Store data in Kubernetes with persistent and non-persistent volumes Understand dynamic provisioning Work with secrets and configmaps Work with Helm charts and other tools to manage Kubernetes in the enterprise Se...