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.

Who is this book for?
This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services.

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

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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ABOUT TECHNICAL REVIEWER'S

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S.Ponmalar is an academician with over 25 years of field and domain experience in Information and Communication Engineering, specializing in areas such as optical communication, Networks, Machine Learning, and Computer vision. She has obtained her Doctoral degree in Information and Communcation Engineering from Anna University and is a recognized supervisor, guiding many PG and PhD scholars. She has published over 30 research papers in many reputed Journals and Conferences. Her interest in upgrading with recent trends and technology has obligated her to read and review articles and books from various publishers.

Tanay Agrawal is a seasoned Deep Learning Researcher with over eight years of experience in AI and machine learning, having made significant contributions across multiple startups. He began his journey by working on an AutoML platform at MateLabs, enabling efficient and accessible machine learning model creation. Tanay then joined Curl HG, where he played a pivotal role in building SARA, an advanced Information Extraction Engine for energy trading sector. Following the company’s acquisition, he transitioned to Xplorazzi as an AI Researcher, focusing on retail technology, including automated checkout kiosks and retail surveillance Solutions.

As the author of the book Hyperparameter Optimization in Machine Learning, Tanay has shared his expertise through talks at esteemed conferences such as PyData London, PyData Delhi, and PyCon India.

In his entrepreneurial journey, Tanay co-founded TryonLabs.ai, where he developed a diffusion-based virtual try-on technology for garments. This technology, once open-sourced, has since become a foundational model that is widely adopted in the industry. Under his leadership, TryonLabs delivered AI-driven solutions to over 120 D2C fashion brands globally.

Currently, Tanay serves as the CTO of Videoit, a company he co-founded to transform the e-commerce experience for D2C brands. Videoit is building a suite of AI applications to bridge the gap between ad clicks and conversions. Tanay continues to innovate at the intersection of AI, retail, and consumer technology, driving an impact on a global scale.