Curriculum

  1. 1

    Book Preview

    1. Ultimate Generative AI Solutions on Google Cloud Free preview
  2. 2

    Introduction

    1. (Included in full purchase)
  3. 3

    Chapter 1 : Generative AI Essentials

    1. (Included in full purchase)
  4. 4

    Chapter 2 : Google Cloud Basics

    1. (Included in full purchase)
  5. 5

    Chapter 3 : Getting Started with Large Language Models

    1. (Included in full purchase)
  6. 6

    Chapter 4 : Prompt Engineering and Contextual Learning

    1. (Included in full purchase)
  7. 7

    Chapter 5 : Fine-Tuning a Large Language Model

    1. (Included in full purchase)
  8. 8

    Chapter 6 : Parameter-Efficient Fine-Tuning (PEFT)

    1. (Included in full purchase)
  9. 9

    Chapter 7 : Reinforcement Learning with Human Feedback

    1. (Included in full purchase)
  10. 10

    Chapter 8 : Model Deployment

    1. (Included in full purchase)
  11. 11

    Chapter 9 : LLMOps for Managing and Monitoring AI Projects

    1. (Included in full purchase)
  12. 12

    Chapter 10 : Harnessing RAG and LangChain

    1. (Included in full purchase)
  13. 13

    Chapter 11 : Case Studies and Real-World Implementations

    1. (Included in full purchase)
  14. 14

    INDEX

    1. (Included in full purchase)

About the course

Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.

About the Author

Arun Pandey is a distinguished technology leader and AI innovator with over 20 years of experience in the f ields of Generative AI, deep learning, and enterprise solutions. As a serial entrepreneur and co-founder of multiple AI startups, he has made significant contributions to the industry, earning recognition as a top global AI influencer and an award-winning author. Arun's extensive background includes leading high-performing teams in Fortune 500 companies, where he generated over USD 3 billion in revenue through innovative technology solutions. His passion for knowledge and commitment to sharing insights have culminated in this book, aimed at empowering readers to harness the power of Generative AI on Google Cloud.