With the recent generative AI boom, organizations are investing more resources into adapting artificial intelligence into their workloads, making the demand for AI skills higher than ever. With Microsoft Azure leading the pack with services for developing and deploying AI solutions, professionals looking to break into this field would be wise to start their journey by getting certified as an Azure AI Engineer.
But Azure's AI-102 exam isn't a piece of cake. This comprehensive study guide provides everything you need to know to pass the exam with flying colors.
Packed with expert guidance on how to approach the exam, apply the best study tactics, and more, this book thoroughly covers all six exam domains and takes you one step closer to certification. Author Renaldi Gondosubroto helps you understand all phases of AI solutions development, from requirements definition and design to development, deployment, and integration, along with maintenance, performance tuning, and monitoring throughout.
The book then walks you through ways to implement these systems, including decision support, computer vision, natural language processing, knowledge mining, document intelligence, and generative AI solutions.
With this book, you will:
- Understand the core concepts of Azure AI Services
- Learn how to develop and deploy AI solutions within Microsoft Azure's environment
- Understand integration and security practices with Microsoft's Azure AI Services
- Learn how to optimize and troubleshoot AI models on Microsoft Azure
- Know what knowledge and skills are covered on the test--and what to expect on exam day
Renaldi Gondosubroto is an accomplished software engineer and developer advocate in the tech community, with more than a decade of experience in developing AI solutions. He holds a Master of Science in Computer Science from Columbia University and all 22 certifications in Microsoft Azure.
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ISBN-13
978-1-0981-6926-8 (9781098169268)
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Renaldi Gondosubroto is an accomplished Software Engineer and a developer advocate in the tech community. With over a decade of experience in developing Artificial Intelligence solutions, he has made significant contributions to numerous companies and communities. He has a Bachelor of Science in Computing and Software Systems from the University of Melbourne and a Master of Science in Computer Science from Columbia University. Outside of the industry, he is active in the academia community with a research focus on generative AI and machine learning. Having spoken at over 40 events and conferences, along with having led a chunk of workshops, he has been an international speaker for the past six years, sharing his experiences and projects. He is also currently an AWS Subject Matter Expert (SME) for its Professional and Specialty Certifications and holds all 13 AWS certifications, along with 20 Microsoft Azure Certifications, including the AI-102 certification. He aims to build open-source solutions which can both help people achieve more value in what they do and promote best practices for fellow developers.
