1. Generative AI Essentials
2. Google Cloud Basics
3. Getting Started with Large Language Models
4. Prompt Engineering and Contextual Learning
5. Fine-Tuning a Large Language Model
6. Parameter-Efficient Fine-Tuning (PEFT)
7. Reinforcement Learning with Human Feedback
8. Model Optimization
9. LLMOps for Managing and Monitoring AI Projects
10. Harnessing RAG and LangChain
11. Case Studies and Real-World Implementations
Index