Gain comprehensive Azure AI knowledge; build expertise in designing, implementing, and optimizing AI solutions; and acquire the skills to excel in AI solution development 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 Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten 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 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 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 a 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.What you will learn Get a solid understanding of foundational concepts in AI, machine learning, deep learning, and generative AI Effectively manage and monitor Azure AI services Explore the principles of responsible AI and Azure AI Content Safety Extract visual insights using Azure AI Vision services Analyze and process text efficiently with Azure AI Language capabilities Implement Azure AI Search solutions for faster and more effective data retrieval Utilize Azure OpenAI services to generate high-quality text, code, and images for innovative solutions Who this book is forIf 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. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.
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Table of Contents
  1. Understanding AI, ML, and Azure's AI Services
  2. Getting Started with Azure AI: Studio, Pipelines, and Containerization
  3. Managing, Monitoring, and Securing Azure AI Services
  4. Implementing Content Moderation Solutions
  5. Exploring Azure AI Vision Solutions
  6. Implementing  Natural Language Processing Solutions
  7. Implement Knowledge Mining and Document Intelligence
  8. Working on Generative AI Solutions
  9. Practical Applications and Additional References
  10. Preparing for the AI-102 Certification Exam
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Produktdetaljer

ISBN
9781836205272
Publisert
2025-07-25
Utgiver
Vendor
Packt Publishing Limited
Høyde
235 mm
Bredde
191 mm
Aldersnivå
01, P, UP, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter

Biographical note

Peter T. Lee is a Senior Solution Architect at Microsoft, specializing in AI and data with over 25 years of IT experience spanning industries such as telecom, fintech, payments, retail, and pharmacy. Recently, his focus has been on delivering Generative AI projects, developing data extraction solutions for unstructured data, and spearheading AI initiatives in the financial, banking, insurance, and capital markets sectors. With deep expertise in cloud platforms such as Azure, AWS, and GCP, Peter excels in designing scalable and resilient architectures while enabling organizations to adopt cutting-edge AI/ML and Generative AI technologies. Holding over 18 industry certifications, he embodies a strong commitment to continuous learning and innovation.