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  • Book Overview & Buying Azure AI-102 Certification Essentials
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Azure AI-102 Certification Essentials

Azure AI-102 Certification Essentials

By : Peter T. Lee
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Azure AI-102 Certification Essentials

Azure AI-102 Certification Essentials

By: Peter T. Lee

Overview of this book

Written by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge. The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness. By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.
Table of Contents (17 chapters)
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1
Part 1: Foundations and Essentials of Azure AI
5
Part 2: Practical Applications of Azure AI
11
Part 3: Agentic AI Solutions, Applying Real-World Use Cases, and Preparing for the AI-102 Certification

Learning accelerators projects on GitHub

I’ve included the following references to real-world GitHub repositories that the Microsoft team, including myself, frequently use when collaborating with customers. These repositories serve as accelerators, enabling customers to quickly launch and execute Proof-Of-Concept (PoC) projects tailored to their unique requirements, rather than starting from scratch.

Developed by Microsoft employees and individual contributors, these open source GitHub repositories cover diverse use cases and commonly leverage patterns such as RAG. They are designed to adapt to various technology stacks, data sources, architectures, and environments, providing a flexible foundation for development.

Important note

This section does not aim to walk through every detail of the GitHub repositories listed. Each repository already includes comprehensive documentation and step-by-step guides for hands-on experimentation. Instead, the goal here is to introduce...

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