Ultimate Generative AI and Agentic AI and RAG with Python

About this course

The Ultimate Generative AI, Agentic AI, and RAG with Python course is designed to help learners develop practical skills in modern artificial intelligence and build intelligent AI-powered applications. This course provides a comprehensive introduction to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI using Python programming. Whether you are a Python developer, software engineer, data scientist, AI enthusiast, or aspiring AI engineer, this course will help you understand essential AI concepts and apply them to real-world projects.

You will explore the fundamentals of Generative AI and learn how large language models generate human-like text, understand prompts, and support a wide range of applications. You will discover prompt engineering techniques, LLM integration, and methods for developing AI applications using Python. The course also introduces RAG architecture, including document processing, text chunking, embeddings, vector databases, semantic search, and context retrieval. You will learn how to connect language models with external knowledge sources to build AI systems that provide more relevant, context-aware responses.

Another important part of this course focuses on Agentic AI and autonomous AI agents. You will understand how AI agents use reasoning, tools, memory, and multi-step workflows to perform tasks with reduced manual intervention. You will explore how to develop AI agents using Python, integrate external tools and APIs, and design workflows that support automation and intelligent decision-making.

The course also covers practical approaches to combining Generative AI, RAG, and Agentic AI to create more capable AI solutions. You will learn how these technologies can work together to develop intelligent assistants, knowledge-based chatbots, document question-answering systems, research assistants, and automated business workflows.

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