Full Stack Generative AI, Agentic AI & RAG with Python

About this course

Full Stack Generative AI, Agentic AI & RAG with Python is a comprehensive, hands-on online course designed to help learners build modern AI-powered applications from the ground up using Python. This course brings together Generative AI, Large Language Models, Retrieval-Augmented Generation, Agentic AI, APIs, databases, and full-stack application development into one practical learning experience.

You will begin with the fundamentals of Generative AI and Large Language Models, then progress into prompt engineering, embeddings, vector databases, and RAG pipelines. Learn how to build intelligent applications that can retrieve relevant information from documents and knowledge bases before generating accurate, context-aware responses.

The course also introduces Agentic AI concepts, enabling you to create AI agents capable of reasoning, planning, using tools, interacting with APIs, maintaining context, and completing multi-step tasks. Using Python, you will learn how to integrate LLMs with real-world applications and develop intelligent workflows rather than simple chatbot interfaces.

On the full-stack development side, you will explore how to connect AI backends with APIs, databases, and user interfaces to create complete production-style applications. You will gain practical experience building AI chatbots, document-based question-answering systems, intelligent assistants, RAG applications, and agent-based solutions.

Whether you are a Python developer, software engineer, data professional, AI enthusiast, or someone looking to transition into Generative AI development, this course provides a practical pathway from fundamentals to advanced AI application development.

By the end of the course, you will have the knowledge and practical skills needed to design, develop, integrate, and deploy full-stack Generative AI, Agentic AI, and RAG applications using Python.

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.