Azure Ai102 Certification Essentials Master The Ai Engineer Associate Exam With Realworld Case Studies And Fulllength Mock Tests 1st Edition Peter T Lee by Peter T. Lee 9781836205272, 1836205279 instant download after payment.

Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples
 
Key Features
• Solidify your understanding with targeted questions at the end of each chapter
• Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations
• Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub
 
Written by a seasoned solutions architect and Microsoft AI professional with over 25 years of 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.
 
Who this book is for
If you're preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem