Generative AI for Cloud Solutions: Architect modern AI LLMs in secure, scalable, and ethical cloud environments
About this ebook
- Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud
- Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI
- Peek into the future to explore emerging trends like multimodal AI and autonomous agents
- Purchase of the print or Kindle book includes a free PDF eBook
- Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together
- Understand how we started applying NLP to concepts like transformers
- Grasp the process of fine-tuning and developing apps based on RAG
- Explore effective prompt engineering strategies
- Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs
- Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI
This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.
About the author
Paul Singh is currently a Principal Cloud Solution Architect (CSA), working at Microsoft for over 10 years. Having been selected as the very first ten CSA's the role was first created, Paul helped shape the role ever since, including being on the national hiring committee(s) as well as helping create the very first Azure Architecture Exam. Paul has earned many honors and awards along the way, while also gaining over 30 different technical certifications, and helping some of the largest Cloud customers with complex scenarios and solutions.
Anurag Karuparti is a seasoned Senior Cloud Solution Architect specializing in AI at Microsoft's Azure practice. Anurag holds a Master's degree in Information Management(Data Science) from Syracuse University, and has a background in Computer Engineering. With over 10 years of experience in the industry, Anurag has become a trusted expert in the fields of Cloud, data, and advanced analytics. Anurag holds multiple Azure Certifications and is certified across major cloud platforms. Throughout his career, he has successfully designed and implemented cutting-edge solutions, leveraging the power of artificial intelligence to drive innovation and transform businesses. Prior to joining Microsoft, Anurag gained valuable experience working as a manager in the Emerging Technologies practices of renowned consulting firms such as EY and PwC.
