Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists

This textbook provides a thorough walkthrough of artificial intelligence deep networks, vector embeddings, and RAG architectures, complete with rich snippets and exercises. Inside, you can see LLM API usage, semantic vector searching, embedding logic, and agents parameters. You will learn how to deploy neural networks and configure search pipelines for RAG projects.