Complete Agentic AI, RAG & MCP Course

About this course

Master the latest advancements in Artificial Intelligence by learning how to build intelligent, autonomous AI applications with Python in this comprehensive, hands-on bootcamp. Designed for beginners, software developers, IT professionals, students, and AI enthusiasts, this course provides a complete roadmap to becoming a skilled AI developer through practical projects and real-world applications.

You'll start with the fundamentals of Python programming before exploring the core concepts of Generative AI, Large Language Models (LLMs), prompt engineering, embeddings, and modern AI application development. As you progress, you'll dive deep into Agentic AI, learning how to design AI agents that can reason, plan, use external tools, maintain memory, retrieve knowledge, and automate complex tasks with minimal human intervention.

Throughout the bootcamp, you'll gain hands-on experience with industry-leading frameworks and technologies, including OpenAI APIs, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, Ollama, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), vector databases, FastAPI, Streamlit, Docker, Git, and cloud deployment platforms. You'll learn how to build scalable AI systems that integrate seamlessly with APIs, databases, enterprise tools, and modern web applications.

The course emphasizes learning by building real-world projects. You'll develop intelligent chatbots, AI assistants, document question-answering systems, AI-powered search applications, workflow automation tools, multi-agent systems, coding assistants, customer support bots, research assistants, content generation platforms, and end-to-end AI business applications. Each project is designed to strengthen your practical skills and prepare you for real-world AI development.

In addition to building AI applications, you'll learn software engineering best practices, including prompt optimization, structured outputs, tool calling, memory management, AI security, application testing, deployment strate

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