eBooks de Informática práctica, página 11 de 141

Empowering the Global Workforce with ChatGPT Expertise.BookDescriptionUltimate ChatGPT Handbook for Enterprises is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPTs evolution, capabilities, and its potential to democratize technology interactions through natural language.Throughout its chapters, youll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles.The latter chapters will help you attain proficiency in managing GPT projects, and discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java.This book offers practical insights and applicable skills, fostering informed dialogue and active participation in the ongoing enterprise AI revolution.Table of Contents1. From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT3. The Impact of ChatGPT on the Enterprise4. Architecture Patterns enabled by GPT-Models5. Advanced GPT Prompt Engineering Techniques6. Designing Prompt-based Intelligent Assistants7. Mastery of GPT-Projects8. LangChain: GPT Implementation Framework for Python9. predictive-powers: GPT Implementation Framework for Java Appendix A: Appendix B:

Secure Kubernetes with Confidence and Ace the CKS Exam. Key Features Master Kubernetes security with real-world, hands-on practices. Hands-on exercises, practice questions, tips, and exam-focused guidance. Get CKS certified with exam aligned content and questions. Book Description As Kubernetes adoption surges across industries, security has become the most critical aspect of managing modern containerized infrastructure. Ultimate Certified Kubernetes Security Specialist (CKS) Certification Guide is designed for professionals who want to validate their expertise in securing Kubernetes clusters and workloads. This book is your trusted companion for not just passing the CKS exam, but mastering the security concepts that every Kubernetes administrator must know. The book begins with an overview of the CKS curriculum and lays a strong foundation in Kubernetes security fundamentals. From there, it takes a structured approachcovering cluster setup, hardening, operating system security, and minimizing microservice vulnerabilities. You will also explore advanced topics such as software supply chain security, runtime protection, logging, and monitoring, as well as real-world tools like AppArmor, Seccomp, and gVisor are introduced with hands-on examples to reinforce your learning. Packed with practical exercises, sample questions, and actionable insights, this guide ensures that you are exam-ready and job-ready! Thus, whether you are preparing for the CKS, or looking to strengthen your Kubernetes security skills, this book will elevate your expertise and confidence. So, start your journey toward becoming a Certified Kubernetes Security Specialist today! What you will learn Understand and follow the official CKS exam curriculum outline. Set up secure and hardened Kubernetes clusters from scratch. Secure Linux hosts and container images for safe deployments. Detect, isolate, and prevent vulnerabilities in microservices. Protect the Kubernetes software supply chain and components. Implement logging and monitoring to ensure runtime security.

Unlock the Power of Kubernetes: Master Cluster Excellence!Key Features? Master Kubernetes from the ground up, covering foundational to expert-level skills.? Enhance learning with practical examples, clear diagrams, and real-world applications.? Tailored content to help you confidently pass the CKA certification exam.Book DescriptionEmbark on a journey from beginner to pro with this CKA Certification Guide. Seamlessly blending theory with hands-on practice, this indispensable Kubernetes companion provides clear explanations and real-world scenarios to guide you to success in Kubernetes administration. The book starts by giving a solid understanding of Kubernetes platform and how to confidently set up your clusters with step-by-step instructions. You will dive into Workload Objects to master crucial concepts, then explore Service and Ingress for a deep understanding of networking.Next, it moves to deploy and scale applications, ensuring youre ready for any workload. This book offers the tools needed to design, deploy, and maintain efficient, scalable, and resilient applications in Kubernetes environments. It covers essential topics such as Pods, Deployments, and StatefulSets, along with providing insights into Kubernetes architecture and operations.The advanced section of the book focuses on enhancing your skills with chapters on security and troubleshooting, ensuring you can maintain your clusters effectively and managing microservices with precision. The final section of the book covers focused content and practice exercises to prepare you to ace the CKA certification exam.What you will learn? Gain the skills to set up, configure, and maintain Kubernetes clusters, ensuring secure and efficient operations.? Learn how to create, deploy, and manage applications on Kubernetes, including handling updates and scaling.? Acquire in-depth knowledge of Kubernetes networking and storage, enabling you to design and implement robust solutions.? Develop expertise in automating application deployments and managing their scaling and availability for optimal performance.? Build the ability to identify, diagnose, and resolve common Kubernetes problems, ensuring smooth cluster operations.Table of Contents1. Introduction to Kubernetes2. Installing Kubernetes3. Workload Objects Pod, Deploy, StatefulSet4. Service and Ingress - Exposing Apps Outside the Cluster5. Deploy and Scale - Stateless Apps6. Deployment Strategies - RollingUpdate, Recreate7. Data Persistence - Local and Cloud8. Deploy and Scale - StatefulSet9. Configure Apps for Production Deployment10. Cluster Database - Backup and Restore11. Cluster Upgrade kubeadm12. CoreDNS13. Networking - Pod Service and Ingress14. Kubernetes CNI15. Kubernetes Security16. Troubleshooting17. Kubernetes Production Essentials18. Microservices Observability19. Scalable Jenkins on Kubernetes20. GitOps using ArgoCD and GitHub21. CKA Exam Mastery IndexAbout the AuthorsRajesh Gheware is a seasoned professional in the IT industry, known for his expertise and contributions in the field of DevOps. With over two decades of experience, Rajesh has made a significant impact in the areas of cloud computing, containerization, and strategic IT architectures. His career h...

Master cloud cost management and become a Certified FinOps Practitioner! Key Features Comprehensive FinOps guide with case studies, exercises, and best practices. Detailed coverage of certification topics with practice exam questions. Expert insights into automation, cost optimization, and collaboration for FinOps. Book Description FinOps, or Cloud Financial Operations, is the discipline of bringing financial accountability to the variable spend model of the cloud. It aligns with engineering, finance, and business teams to ensure that organizations extract the maximum value from every dollar invested in the cloud. Ultimate Certified FinOps Practitioner Exam Guide is the definitive resource for mastering FinOps, and preparing for the Certified FinOps Practitioner exam. The book takes you on a complete journeystarting with the core principles and framework, then guiding you through the lifecycle phases of Inform, Optimize, and Operate. Along the way, you will gain hands-on experience with AWS, Azure, and GCP, explore leading cost management platforms such as CloudHealth and Apptio Cloudability, and apply automation with Terraform, Ansible, and Python. Each chapter blends clear explanations with practical exercises, certification-style Q and A, and real-world case studies. By the end of this guide, you will confidently analyze and allocate costs, implement optimization strategies, automate governance at scale, and ace the FinOps certification exam. Hence, whether you are a cloud engineer, financial analyst, IT manager, or business leader, this book equips you with the skills to control spending, drive efficiency, and accelerate your career in the rapidly growing FinOps discipline. What you will learn Understand and apply core FinOps principles to manage cloud costs effectively. Analyze and allocate cloud expenses with tagging and reporting tools and methods. Optimize spending through rightsizing, reserved instances, and spot usage. Automate cost governance using scripts and Infrastructure as Code tools. Prepare with confidence for the Certified FinOps Practitioner exam. Implement proven best practices from real-world FinOps case studies.

Build Decentralized Applications Today for a Better TomorrowKey Features? Build secure, scalable, and resilient Web3 Cardano Blockchain applications.? Project-based learning connects blockchain concepts to project architecture and source code.? Discover new employment opportunities, business models, and markets.Book DescriptionUnlock the full potential of the Cardano blockchain for building decentralized Web 3.0 apps with Ultimate Cardano Smart Contracts.This book takes you on a journey from the basics of blockchain evolution, cryptography, and Cardanos unique consensus algorithm, to the intricacies of transactions and smart contracts. Youll dive deep into Plutus, Cardanos native smart contract language, and master essential tools like the Transaction Builder and Validators. Learn how to mint your own tokens and utilize the best development tools available.Through a real-world ticketing application project, youll design, implement, test, and deploy a decentralized application, ensuring robust security and scalability. Troubleshoot common issues and explore the vibrant Cardano ecosystem, filled with resources and communities to support your ongoing development journey.By the end of this book, youll have the skills and confidence to create sophisticated smart contracts and contribute to the innovative world of Cardano.What you will learn? Gain a comprehensive understanding of blockchain technology and Cardanos innovative approach.? Develop and deploy a variety of smart contracts on the Cardano blockchain.? Master the creation and interaction with both Fungible Tokens (FTs) and Non-Fungible Tokens (NFTs) for diverse use cases.? Implement advanced testing methodologies to ensure the security and reliability of your smart contracts.? Design and build scalable decentralized applications (dApps) using Cardanos Plutus language.? Explore real-world case studies and best practices for successful smart contract development.? Engage with the vibrant Cardano community and contribute confidently to the ecosystem.Table of Contents1. Blockchain Evolution2. Cryptography and Consensus Algorithms Overview3. Transactions4. Plutus5. Transaction Builder6. Validators7. Minting8. Tooling9. Ticket Application Design10. Ticket Application Implementation11. Testing, Security, and Scaling12. Troubleshooting13. Cardano Ecosystem14. Closing Remarks Bibliography IndexAbout the AuthorsLawrence Ley has a Computer Science degree from the University of Toronto and over 20 years of IT industry experience. He is passionate about learning new technologies and how they can make a positive impact. His Cardano journey started in 2021 with the Plutus Pioneers program, and he has worked on several open-source Cardano impact projects. Lawrence is a professor in the Blockchain Development Program at George Brown College in Toronto and runs the Cardano Blockchain Toronto monthly meetup with over 500 members.His professional experience includes IT consulting in the telecommunications, banking, and retail industries. He has a proven track record of building and managing complex, integrated, highly scalable consumer and retail applications. His first experiences with cryptocurrencies involved mining Bitcoin and ...

Your Comprehensive Companion to Building Modern, Responsive Websites with Bootstrap.Key Features? Build a Website with Mobile-First Approach and Practice Website Design on Desktop, Tablet, and Mobile Devices.? Grasp the Importance and Techniques of Responsive Web Design, Ensuring Their Websites Look Great on all Devices.? Understand Bootstrap from the Ground Up, Enabling to Create Responsive, Mobile-First Websites Efficiently.Book DescriptionBootstrap is a game-changer in web design, empowering developers to create sleek, fully responsive websites with ease. As the backbone of millions of mobile-first sites globally, Bootstrap accelerates development, ensuring consistency and adaptability across any device.The Ultimate Bootstrap for Responsive Web Design is a practical guide for anyone looking to harness the power of Bootstrap for building modern, responsive websites. Designed with beginners in mind, it covers all the essentials of responsive design and Bootstraps mobile-first approach, enabling you to focus on creativity over coding.From foundational principles like HTML and CSS to advanced customization, this book explores the structure and features of Bootstrap. Youll learn how to use core components, utilities, and design elements to create sites that adapt seamlessly across devices.With each chapter, youll deepen your understanding of responsive web design, building skills to create mobile-first sites from scratch. By the end, youll be equipped with all the tools needed to master Bootstrap and build websites that stand out.What you will learn? Build fully responsive websites from the ground up with Bootstrap? Master Bootstraps components, utilities, and customization options? Develop mobile-first designs for seamless display across all devices? Enhance HTML and CSS skills for efficient front-end development? Apply essential responsive design principles for modern web projects? Code websites from basic to advanced using Bootstraps versatile featuresTable of Contents1. Introduction to Bootstrap and Responsive Web Design2. Bootstrap Layout3. Set the Content with Bootstrap4. Bootstrap Navs5. Bootstrap Components6. Bootstrap Popup Components7. Bootstrap Forms8. Bootstrap Helpers9. Bootstrap Utilities10. Optimization Techniques for Bootstrap Websites IndexAbout the AuthorAmit Diwan is the founder of Studyopedia.com. He is also running Amit Thinks, a tech YouTube channel with over 215k+ subscribers.His interest in developing educational projects grew after completing his basic schooling. He subsequently pursued BCA and MCA from GGSIPU. As he approached the final year of MCA and faced career decisions, freelancing appealed to him more than traditional employment. At the age of 22, he embarked on his first freelancing endeavor, working on a Python programming project.Following the completion of his MCA, Amit was offered a position at Accenture. However, due to a three-month gap before joining, he seized the opportunity to work at IIT, Delhi. This experience proved invaluable, ultimately leading him to decline the Accenture offer.From the outset, Amit harbored the ambition of establishing his own IT company. Therefore, he dedicated himself to...

Blockchain Security is not an option, its a necessity.Key Features An in-depth examination of the security aspects of Bitcoin, Ethereum, and Hyperledger Fabric. Comprehensive coverage of smart contract vulnerabilities, attack analysis, and effective security measures. Leverage Blockchain Risk Management Framework for managing risks associated with blockchain technology Practical insights into testing and assessing the security of blockchain applications. Strategies and solutions for robust access control using blockchain-based identity and access management. Expert insights on identifying and categorizing risks using advanced threat modeling techniques. Book Description The Ultimate Blockchain Security Handbook will help you identify and remediate your Blockchain solution bugs before others do. Covering the latest threats and vulnerabilities, as well as effective mitigation strategies, it takes you on a journey from the security foundations of blockchain technology to implementing advanced security solutions for blockchain applications. It helps you identify, assess, and mitigate risks using a variety of tools and techniques, including threat modeling, penetration testing, vulnerability scanning, attack analysis, and security audits. It covers formal verification methods for testing smart contract code, with an application of the K semantic framework. It then explores a range of blockchain security solutions, including zero-knowledge proof architecture, access control design, establishment of robust public key infrastructures, and the implementation of security logging and monitoring tools to track activities effectively. What you will learn Acquire proficiency in efficiently assessing and categorizing risks through comprehensive threat modeling exercises. Learn to conduct thorough audits of smart contracts and blockchain applications using diverse tools, formal verification methods, and established frameworks. Learn to design secure blockchain architectures by implementing cutting-edge techniques, including zero-knowledge proofs, access controls, PKI (Public Key Infrastructure), and robust security logging. Learn to take appropriate actions when encountering cryptocurrency-related internet scams, ensuring a safer digital environment. Who is this book for? This book is tailored for blockchain developers, architects, security experts, software professionals, and researchers/cryptographers seeking in-depth knowledge of blockchain security. Whether youre building blockchain systems, strengthening security expertise, integrating blockchain into software, or delving into advanced research, this book equips you with essential skills and insights. Table of Contents 1. Blockchain Security Overview 2. Blockchain Security Variations 3. Attack Vectors Management on Blockchain 4. Blockchain Application Exploitation 5. Blockchain Application Audit 6. Blockchain Security Solution Index

DESCRIPTIONThe Ultimate Blockchain Security Handbook will help you identify and remediate your Blockchain solution bugs before others do. Covering the latest threats and vulnerabilities, as well as effective mitigation strategies, it takes you on a journey from the security foundations of blockchain technology to implementing advanced security solutions for blockchain applications. It helps you identify, assess, and mitigate risks using a variety of tools and techniques, including threat modeling, penetration testing, vulnerability scanning, attack analysis, and security audits. It covers formal verification methods for testing smart contract code, with an application of the K semantic framework. It then explores a range of blockchain security solutions, including zero-knowledge proof architecture, access control design, the establishment of robust public key infrastructures, and the implementation of security logging and monitoring tools to track activities effectively.TABLE OF CONTENTS 1. Blockchain Security Overview2. Blockchain Security Variations3. Attack Vectors Management on Blockchain4. Blockchain Application Exploitation5. Blockchain Application Audit6. Blockchain Security Solution Index

Master the Hadoop Ecosystem and Build Scalable Analytics SystemsKey Features? Explains Hadoop, YARN, MapReduce, and Tez for understanding distributed data processing and resource management.? Delves into Apache Hive and Apache Spark for their roles in data warehousing, real-time processing, and advanced analytics.? Provides hands-on guidance for using Python with Hadoop for business intelligence and data analytics.Book DescriptionIn a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150,000 annuallymastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in todays data-driven landscape.The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises.You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python.Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively.Dont miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop.What you will learn? Gain expertise in building and managing large-scale data pipelines with Hadoop, YARN, and MapReduce.? Master real-time analytics and data processing with Apache Sparks powerful features.? Develop skills in using Apache Hive for efficient data warehousing and complex queries.? Integrate Python for advanced data analysis, visualization, and business intelligence in the Hadoop ecosystem.? Learn to enhance data storage and processing performance using formats like ORC, Parquet, and Delta.? Acquire hands-on experience in deploying and managing Hadoop clusters with Docker and Kubernetes.? Build and deploy machine learning models with tools integrated into the Hadoop ecosystem.Table of Contents1. Introduction to Hadoop and ASF2. Overview of Big Data Analytics3. Hadoop and YARN MapReduce and Tez4. Distributed Query Engines: Apache Hive5. Distributed Query Engines: Apache Spark6. File Formats and Table Formats (Apache Ice-berg, Hudi, and Delta)7. Python and the Hadoop Ecosystem for Big Data Analytics - BI8. Data Science and Machine Learning with Hadoop Ecosystem9. Introduction to Cloud Computing and Other Apache Projects IndexAbout the AuthorsSimhadri Govindappa holds a Bachelor of Engineering in Electronics and Communication Engineering from M.S. Ramaiah Institute of Technology, Bangalore, India. He is an accomplished professional with significant contributions to the field of big data.Simhadri began his...

Empower Your Data Science Journey: From Exploration to Certification in Azure Machine LearningKey Features? Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept.? Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification.? Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience.Book DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes.The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azures tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career.What you will learn? Design and prepare effective machine learning solutions in Microsoft Azure.? Learn to develop complete machine learning training pipelines, with or without code.? Explore data, train models, and validate ML pipelines efficiently.? Deploy, manage, and optimize machine learning models in Azure.? Utilize Azures suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio.? Apply real-world data science techniques to business problems.? Confidently tackle DP-100 certification exam questions and scenarios.Table of Contents1. Introduction to Data Science and Azure2. Setting Up Your Azure Environment3. Data Ingestion and Storage in Azure4. Data Transformation and Cleaning5. Introduction to Machine Learning6. Azure Machine Learning Studio7. Model Deployment and Monitoring8. Embracing AI Revolution Azure9. Responsible AI and Ethics10. Big Data Analytics with Azure11. Real-World Applications and Case Studies12. Conclusion and Next Steps IndexAbout the AuthorsRajib Kumar De is a seasoned Data Scientist with a Masters in Statistics and over a decade of industry experience. He excels in Analytics, Predictive Modeling, Machine Learning, Cloud Computing (Microsoft Azure), AI, Deep Learning, and NLP. With a strong research mindset, he tackles complex problems using supervised and unsupervised learning methods.Technical Expertise and Team Collaboration: Programming Languages: R, Python, Cloud Platforms: Microsoft Azure, Azure Databricks, Microsoft Fabric, Data Science Tools: Azure ML, MLFlow, Fabric Data ScienceRajib collaborates with a team of experts to tackle complex projects and ensure client satisfaction. Outside of work, he enjoys stock market analysis and travel. His blend of technical skills, certifications, and client-focused approach makes him an ideal partner for data science and mac...

Discover the world of data engineering in an on-premises setting versus the Azure cloudKey Features? Explore Azure data engineering from foundational concepts to advanced techniques, spanning SQL databases, ETL processes, and cloud-native solutions.? Learn to implement real-world data projects with Azure services, covering data integration, storage, and analytics, tailored for diverse business needs.? Prepare effectively for Azure data engineering certifications with detailed exam-focused content and practical exercises to reinforce learning.Book DescriptionEmbark on a comprehensive journey into Azure data engineering with Ultimate Azure Data Engineering. Starting with foundational topics like SQL and relational database concepts, youll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation.The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios. Whether youre aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering.What you will learn? Master the core principles and methodologies that drive data engineering such as data processing, storage, and management techniques.? Gain a deep understanding of Structured Query Language (SQL) and relational database management systems (RDBMS) for Azure Data Engineering.? Learn about Azure cloud services for data engineering, such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage.? Gain proficiency to orchestrate data workflows, schedule data pipelines, and monitor data integration processes across cloud and hybrid environments.? Design optimized database structures and data models tailored for performance and scalability in Azure.? Implement techniques to optimize data performance such as query optimization, caching strategies, and resource utilization monitoring.? Learn how to visualize data insights effectively using tools like Power BI to create interactive dashboards and derive data-driven insights.Table of Contents1. Introduction to Data Engineering2. Understanding SQL and RDBMS Concepts3. Data Engineering: Azure Versus On-Premises4. Azure Cloud Concepts5. Working with Heterogenous Data Sources6. ETL Concepts7. Database Design and Modeling8. Performance Best Practices and Data Security9. Data Visualization and Application in Real World10. Data Engineering Certification Guide IndexAbout the AuthorsAshish Agarwal currently works as an Engineering Architect in the Azure SQL Engineering team at Microsoft, where he works with large and complex SQL modernization projects spanning from SQL On-Premises to Azure IaaS and PaaS Platforms.He holds an Ho...

Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! Key Features Step-by-step and structured content designed for beginners, intermediates, and experts alike. Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases. Gain insights into implementation strategies through practical, real-world examples. Book Description Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether youre just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, youll gain practical insights into the power of prompt engineering, advanced features of Azures AI capabilities, and how to implement solutions in language, speech, and vision. Youll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecyclefrom development to deploymentensuring your enterprise stays ahead in this fast-paced field. Dont miss your chance to transform your business with Azures revolutionary AI toolsstart building the future today! What you will learn Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques. Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions. Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio. Leverage Azures advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices. Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications.

Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.Key Features? Gain an in-depth understanding of essential AWS services such as S3, DynamoDB, Redshift, and Glue to build scalable data solutions.? Learn to design efficient, fault-tolerant data pipelines while adhering to best practices in cost management and security.Book DescriptionIn todays data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges.Throughout the chapters, youll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformationall while adhering to best practices in cost-efficiency and security.Whether you aim to streamline your organizations data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.What you will learn? Design scalable data pipelines using core AWS data engineering tools.? Master data replication, partitioning, and sharding techniques on AWS.? Build fault-tolerant architectures with AWS scalability and reliability.Table of Contents1. Unveiling the Secrets of Data Engineering2. Architecting for Scalability: Data Replication Techniques3. Partitioning and Sharding: Optimizing Data Management4. Ensuring Consistency: Consensus Mechanisms and Models5. Balancing the Load: Achieving Performance and Efficiency6. Building Fault-Tolerant Architectures7. Exploring the Realm of AWS Data Storage Services8. Orchestrating Data Flow9. Advanced Data Pipelines and Transformation10. Data Warehousing Demystified11. Visualizing the Unseen12. AWS Machine Learning: Classic AI to Generative AI13. Advanced Data Engineering with AWS IndexAbout the AuthorsRathish Mohan is a distinguished applied scientist and AI/ML leader with over a decade of experience in machine learning, natural language processing (NLP), and computer vision. Currently, he is a Senior Applied ML Scientist at Lore | Contagious Health, where he leads cross-disciplinary teams to develop advanced AI systems. Rathish specializes in real-time conversational AI and personalization, leveraging cutting-edge technologies like prefix tuning, LLMs, and RAG pipelines to improve user health and well-being.Shekhar Agrawal is a seasoned AI and data engineering expert with over 14 years of experience in leading large-scale AI, ML, and NLP initiatives across globally recognized organizations. Currently a Senior Director of Data Science at Oracle Corporation, Shekhar spearheads the development of cutting-edge Generative AI platforms and enterpr...

Pass the AWS Solutions Architect Pro Exam with Confidence.Key Features? Dive deep into all critical areas of the exam, including advanced architecture, cost optimization, high availability, and security.? Engage with interactive exercises that simulate real-world cloud challenges.? Learn from experienced professionals who share insider tips, proven strategies, and common pitfalls to avoid.Book DescriptionThe AWS Certified Solutions Architect Professional certification is a vital credential for IT professionals seeking to advance their careers in cloud architecture. Mastering the complexities of AWS requires a deep understanding of its architecture and services. The Ultimate AWS Certified Solutions Architect Professional Exam Guide is your comprehensive resource to conquering the AWS Certified Solutions Architect Professional exam. It is designed to equip you with the knowledge and practical skills necessary to design and deploy scalable, high-performing, and cost-effective cloud solutions.Delve into core AWS services, advanced architecture patterns, and best practices. Explore topics such as VPC design, security, high availability, cost optimization, and more. Each chapter offers in-depth explanations, real-world examples, and exercises to solidify your understanding. By the end of this book, you will be confident in architecting robust cloud solutions, troubleshooting complex issues, and successfully passing the AWS Certified Solutions Architect Professional exam.With a solid grasp of AWS architecture and a proven exam preparation strategy, you will be well-prepared to excel as a cloud architect and drive innovation within your organization.What you will learn? Design scalable, secure, and cost-effective cloud architectures on AWS.? Master VPC design, security, and implement high-availability best practices.? Optimize AWS services for peak performance, reliability, and cost efficiency.? Troubleshoot complex cloud infrastructure issues with precision and confidence.? Prepare effectively for the AWS Solution Architect Professional certification exam.? Gain practical experience through real-world scenarios and hands-on exercises.Table of Contents1. Introduction to AWS Solution Architect Professional Exam2. Advanced Architecting on AWS3. Security Practices in AWS4. High Availability and Disaster Recovery5. Performance Optimization and Scalability6. Cost Optimization7. Migration and Modernization8. DevOps and Continuous Delivery9. Advanced Networking and Content Delivery10. Big Data and Analytics11. Serverless Computing and Microservices12. Emerging Technologies and Trends13. Preparing for Exam IndexAbout the AuthorsGaurav H Kankaria is a passionate technologist with nearly a decade of experience in Data & Analytics and AI/ML (including GenAI). He specializes in driving business growth for retail and financial clients, leveraging his expertise in architecting data-intensive solutions and utilizing AI/ML technologies to solve complex challenges.Karan Vichare is a Lead Data Architect at Ganit Business Solutions Private Limited, with over six years of experience spanning data engineering, data analytics, web application development, and cloud migration. His expertise encompasses the...

Your Definitive Path to Mastering Cloud Architecture Skills and Conquering the SAA-C03 Exam.Key Features? Immerse in practical learning to solidify your grasp of AWS architecture principles.? Gain insights from industry-leading tips and best practices to think like an expert Solution Architect.? Designed for all experience levels, this guide caters to both beginners and seasoned professionals.? Deepen your knowledge of core AWS services while exploring advanced topics like serverless computing, containers, and machine learning.Book DescriptionThe AWS Certified Solutions Architect - Associate SAA-C03 credential boosts career prospects and salaries, with 73% of professionals seeing job improvements and a 26% salary increase. The Ultimate AWS Certified Solutions Architect - Associate (SAA-C03) Certification Guide equips you with the knowledge to master AWS architecture, from core services to advanced topics like serverless computing and machine learning, with practical examples and expert insights that are crucial for passing the exam and excelling in real-world applications.This book not only covers the fundamentals but also explores advanced topics like serverless computing, containers, and machine learning. Each chapter is packed with practical examples, real-world scenarios, hands-on exercises, and expert insights that will build your confidence and competence as a cloud architect.With this guide, you will gain the knowledge and skills needed to create highly available, fault-tolerant architectures that meet the demands of todays dynamic cloud environments. Whether you are aiming to pass the AWS Certified Solutions Architect Associate exam or looking to enhance your cloud architecture skills, this book is your gateway to success.Take the first step towards becoming an AWS Certified Solutions Architect and unlock new horizons in your cloud architecture career today!What you will learn? Develop a strong grasp of cloud fundamentals, essential for thriving in the fast-paced world of cloud technology.? Learn to build secure, fault-tolerant, and cost-efficient AWS architectures that meet diverse business requirements.? Gain comprehensive knowledge of AWS services like computing, storage, networking, and databases to create scalable and reliable cloud solutions.? Explore cutting-edge AWS solutions such as serverless computing, containers, and machine learning to enhance your cloud architectures.Table of Contents1. Introduction to Cloud Computing, AWS, and AWS SAA C-032. Identity and Access Management in AWS3. Networking in AWS4. Cloud Storage5. Deep-Dive into AWS Compute6. Deep Dive Into AWS Databases7. AWS Application Services8. AWS Management and Governance Services9. AWS Cloud Security10. Cloud Architecture and AWS Framework11. AWS SAA C-03 Certification Preparation IndexAbout the AuthorsVenkata Sasi Kanumuri is a renowned Cloud Strategy and FinOps/Cloud Economics expert, specializing in cloud efficiency, cost savings, and successful cloud migrations.Sasis thought leadership in FinOps has significantly shaped the industry, driving efficiency programs and lasting partnerships through vendor management and deal strategy.Otieno Ododa is a senior engineering leader with over 20 years of exp...

AWS Security Specialty Exam Made Simple, Practical, and Achievable. Key Features Comprehensive coverage of AWS security concepts and best practices. Hands-on labs, case studies, and real-world implementation examples. Exam-focused insights, tips, and strategies for certification success. Book Description This book is a career-defining credential for cloud architects, security engineers, and DevOps practitioners. The Ultimate AWS Certified Security Specialty (SCS-CO2) Exam Guide is your complete resource to master cloud security, pass the exam with confidence, and apply skills in real-world environments. The book begins with cloud security fundamentals and an overview of the AWS exam structure, setting the stage for success. It then progresses into identity and access management, encryption and data protection, as well as secure VPC design. As you advance, you will explore monitoring, logging, and automated incident response, followed by DevSecOps and security automation. Each chapter aligns with AWS exam domains, reinforced with hands-on labs, case studies, practice questions, and expert exam strategies. Thus, by the end of the book, you will have a complete understanding of AWS security services, practical implementation techniques, and proven approaches to governance and compliance. More importantly, you will gain the confidence to not only pass the AWS Certified Security Specialty Exam but also to lead secure, scalable, and future-ready cloud solutions. Hence, take the next step in your cloud careermaster AWS security, and turn certification success into professional growth! What you will learn Master AWS Identity and Access Management for secure access control. Implement encryption and data protection strategies across AWS services. Design secure VPC architectures with defense-in-depth principles. Monitor, detect, and respond to threats using AWS security tools. Automate compliance and security checks with DevSecOps practices. Prepare confidently, and crack the AWS Certified Security Specialty Exam.

The AWS Certified Cloud Practitioner (CLF-C02) Exam is your gateway to todays cloud-first worldand Ultimate AWS Certified Cloud Practitioner (CLF-C02) Certification Guide (2nd Edition) is your complete roadmap for clearing it with confidence. Whether you are starting from scratch or strengthening your IT foundation, this book prepares you to succeed in the worlds most recognized cloud certification. You begin with a solid grounding in cloud computing fundamentals, and gradually advance into AWS global infrastructure, compute, storage, databases, networking, migration, security, pricing, governance, and application integration. Each chapter simplifies complex topics with illustrations, real-world business examples, hands-on walkthroughs, and structured explanations aligned with the CLF-C02 exam blueprint. Practice questions, exam tips, and review sections help you reinforce learning and identify the weak areas, ensuring that you are always exam-ready!

Your Complete Roadmap to AWS AI Practitioner SuccessSimplified, Practical, and Designed to Help You Pass with Confidence. Key Features Gain in-depth knowledge of AWS AI services, Generative AI, and ethical considerations for business and technical use cases. Master essential AWS AI/ML tools to stay ahead in the evolving landscape of cloud-based artificial intelligence solutions. Prepare confidently with real-world examples, clear explanations, and targeted exam questions for the AWS AI Practitioner certification. Book Description In todays AI-powered world, earning the AWS Certified AI Practitioner (AIF-C01) certification is a powerful way to validate your skills, boost your credibility, and stand out in the competitive cloud job market. Ultimate AWS Certified AI Practitioner (AIF-C01) Exam Guide is a comprehensive, beginner-friendly roadmap for professionals, students, and decision-makers looking to master AI and Machine Learning on AWSand crack the AIF-C01 exam with confidence. Covering everything from AI and ML fundamentals to core AWS services like SageMaker, Bedrock, and Rekognition, this guide also explores Generative AI, vision and language-based AI use cases, and practical tools for personalization, security, and governance. Youll gain clarity on responsible AI principles, learn to identify and mitigate bias, and confidently navigate AWS best practices in ethics and compliance. Each chapter offers real-world examples, exam strategies, and practice questions designed to reinforce key concepts and simulate the exam environment. Whether youre technical or non-technical, the content is simplified for easy understandingwithout sacrificing depth or relevance. If youre serious about working in AI or cloud, this certification isnt just a bonusits becoming a must-have. Dont miss your chance to stay ahead of the curvemaster AWS AI and future-proof your career now. What you will learn Understand foundational concepts of AI, Machine Learning, and Generative AI for modern cloud applications. Gain hands-on experience with AWS AI/ML services like SageMaker, Bedrock and Rekognition to build intelligent solutions. Learn to build, train, fine-tune, and deploy machine learning models using Amazon SageMaker. Apply responsible AI practices by identifying and mitigating ethical risks, biases, and fairness issues in AI solutions. Secure your AI workloads through AWS best practices in governance, compliance, and data protection. Access targeted exam tips, mock questions, and real-world examples to confidently clear the AWS AI Practitioner certification.

Transform IaC with AWS CDK to Simplify, Secure, and Scale Your Cloud.Key Features? Build scalable cloud infrastructures with AWS CDK, from basics to mastery.? Simplify and optimize infrastructure as code with AWS CDK tools.? Learn AWS CDK hands-on with tutorials, examples, and proven practices.Book DescriptionThe AWS Cloud Development Kit (CDK) transforms infrastructure automation, empowering developers to simplify, optimize, and scale cloud operations. As cloud infrastructure plays a vital role in modern applications, mastering AWS CDK is a critical skill for developers and DevOps professionals. "Ultimate AWS CDK for Infrastructure Automation" equips you with practical skills to harness its full potential.This book introduces Infrastructure as Code (IaC) principles and AWS CDK fundamentals, guiding you through core concepts like stacks, constructs, environments, and resources. Youll learn to build multi-stack projects, configure CI/CD pipelines, and apply best practices for modular and reusable code.Each chapter delivers practical insights and expert tips, from setup to advanced topics like custom resources and performance tuning. Key takeaways include mastering CDK constructs, managing cross-stack resources, creating CI/CD pipelines, and refining testing and troubleshooting skills.By the end of this book, youll have the expertise to design, deploy, and manage scalable, automated cloud infrastructures. Whether youre new to AWS CDK or looking to refine your skills, this book provides a roadmap to mastering infrastructure automation and driving cloud innovation.What you will learn? Design secure, scalable cloud architectures using AWS CDK.? Implement Infrastructure as Code (IaC) with TypeScript for AWS.? Build, deploy, and manage multi-stack cloud projects efficiently.? Integrate CI/CD pipelines for automated cloud infrastructure provisioning.? Optimize cloud deployments for cost, performance, and security.? Debug, test, and enhance CDK apps using industry best practices.Table of Contents1. Introduction to AWS CDK and DevOps Automation2. Getting Started with AWS CDK3. Key Concepts of CDK4. Building a Multi-Stack CDK Project5. Orchestrating CDK Pipelines6. Securing Your CDK Applications7. Testing and Debugging CDK Applications8. Advanced Constructs and Design Patterns9. Best Practices and Expert Techniques10. Real-World Case Studies and Examples IndexAbout the AuthorsAnish Kumar is a seasoned DevOps and Cloud Engineering expert with over six years of professional experience. He specializes in AWS cloud services and modern DevOps practices. With 13 AWS certifications spanning associate, professional, and specialty levels, along with Kubernetes certifications (CKA, CKAD, CKS), he has a profound understanding of infrastructure automation, container orchestration, and security.Anish holds a degree in Information Technology, graduating with distinction from the University of Pune, India. His career journey has seen him excel in roles such as Senior DevOps Engineer, Cloud Engineer, and Cloud Architect at renowned organizations such as Dare International, Ohme, and Amazon Web Services. Across these roles, he has successfully led more than ten large-scale projects, ranging from cloud migrations and inf...

Code smarter, Test faster, and Build better with GitHub Copilot! Key Features Master prompt engineering and multi-modal Copilot interactions. Use GitHub Copilot for real coding, testing, and DevOps tasks. Speed up development with AI-powered code and test generation. Book Description AI-assisted coding is transforming how software is builtfaster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate. The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. Youll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices. Whether youre building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AInot just use it. Dont get left behindunlock the full potential of GitHub Copilot and future-proof your skills today. What you will learn Use GitHub Copilot effectively in Python, Java, Go, and C++. Write smart prompts to guide Copilot across coding scenarios. Build and debug applications using AI-generated code snippets. Enhance test automation and integrate Copilot into CI/CD flows. Leverage Agent Mode and Vibe Coding for intelligent automation. Adapt Copilot for education, framework design, and DevOps tasks.