Peter T. Lee

Azure AI-102 Certification Essentials (eBook, ePUB)

Master the AI Engineer Associate exam with real-world case studies and full-length mock tests

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 388
• Erscheinungstermin: 14. August 2025
• Englisch
• ISBN-13: 9781836205265
• Artikelnr.: 74974756

Autorenporträt

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.