Full Stack Agentic AI and RAG & Generative AI with Python

About this course

Full Stack Agentic AI and RAG & Generative AI with Python is a comprehensive, hands-on online course designed for developers, AI enthusiasts, and professionals who want to build modern AI-powered applications from end to end. This course combines Python programming, Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, LLMs, APIs, databases, and full-stack development into one practical learning experience.

You will learn how to build intelligent AI applications that can understand user requests, retrieve relevant information, use external tools, maintain context, and perform multi-step tasks autonomously. The course covers the fundamentals of Large Language Models and Generative AI before progressing into advanced concepts such as prompt engineering, embeddings, vector databases, document processing, semantic search, RAG pipelines, AI agents, tool calling, memory, workflows, and multi-agent systems.

Using Python, you will develop real-world AI solutions and connect them with modern frontend and backend technologies to create complete full-stack applications. You will learn how to integrate LLM APIs, build RAG-based chatbots, create AI assistants, process documents, develop intelligent search applications, and design autonomous agent workflows.

The course also focuses on practical development, helping you understand how different components work together in production-ready AI systems. You will gain experience working with APIs, databases, vector stores, authentication, application deployment, and AI application architecture.

By the end of this course, you will have the knowledge and practical skills to design, develop, and deploy full-stack Agentic AI, RAG, and Generative AI applications using Python. Whether you are a Python developer, software engineer, AI/ML learner, or aspiring Generative AI developer, this course provides a structured path from fundamentals to advanced AI application development.

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