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Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications!
Key Features
● Step-by-step and structured content designed for beginners, intermediates, and experts alike.
● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases.
● Gain insights into implementation strategies through practical, real-world examples.
Book Description
Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale.
Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you're just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow.
Through step-by-step hands-on examples, you'll gain practical insights into the power of prompt engineering, advanced features of Azure's AI capabilities, and how to implement solutions in language, speech, and vision. You'll also explore ethical AI practices, ensuring responsible and impactful AI development.
This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don't miss your chance to transform your business with Azure's revolutionary AI tools—start building the future today!
What you will learn
● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques.
● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions.
● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio.
● Leverage Azure's advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices.
● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications.
Table of Contents
1. Introduction to Generative AI
2. Exploring LLMs and Its Capabilities
3. Vector Database and Embedding Techniques
4. Prompt Engineering and Its Significance
5. Azure Storage for Azure OpenAI Implementations
6. Azure AI Search Services for Azure OpenAI Implementations
7. Getting Started with Generative AI Using Azure OpenAI Services
8. Advanced Azure AI Studio–I
9. Advanced Azure AI Studio–II
10. Generative AI Use Cases for Industries–I
11. Gen AI Implementation Use Case with Azure OpenAI–II
Index
About the Authors
With over 23 years of IT experience, Shanthababu Pandian is a seasoned tech executive specializing in data science, generative AI, machine learning, and artificial intelligence. He holds three master's degrees (M.Tech, MBA, and M.S.), a bachelor's degree in Electronics and Communication Engineering, a postgraduate degree in AI & ML from the University of Texas, and a certification in Data Science from IIT Guwahati. He is currently pursuing a PhD in AI at Anna University, Chennai.
With over 23 years of IT experience, Shanthababu Pandian is a seasoned tech executive specializing in data science, generative AI, machine learning, and artificial intelligence. He holds three master's degrees (M.Tech, MBA, and M.S.), a bachelor's degree in Electronics and Communication Engineering, a postgraduate degree in AI & ML from the University of Texas, and a certification in Data Science from IIT Guwahati. He is currently pursuing a PhD in AI at Anna University, Chennai.
Shanthababu has extensive experience in data engineering, analytics, and developing AI-driven solutions. He has successfully delivered projects for clients in the healthcare, financial, and retail sectors across the US and the UK. He is a master at implementing governance frameworks into place, directing agile, cross-functional teams, and creating AI-powered products.
He is a well-known thought leader who has presented more than 50 national and international lectures and authored more than 100 books and articles. He has also reviewed more than 75 technical publications in the areas of programming, data, artificial intelligence, and the cloud. He continues to motivate the next generation of AI and data specialists by serving as a mentor and counselor to IT institutions.
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