Artificial Intelligence is rapidly evolving beyond simple chatbots and prompt engineering. Modern organizations are building intelligent systems that can reason, plan, retrieve knowledge, use tools, automate workflows, browse websites, collaborate with other agents, and operate as autonomous digital workers. The demand for engineers who understand how to build these advanced systems has never been higher.

AI Agents, RAG & MCP: 7-Day Builder Bootcamp is an intensive, hands-on course designed for developers, AI engineers, architects, and technical professionals who already have experience with Python and basic AI development and want to master the next generation of AI systems.

Unlike courses that focus only on prompting or individual AI tools, this bootcamp teaches how to engineer complete AI applications from the ground up. Throughout seven action-packed days, you will build real-world projects using modern frameworks, architectures, and design patterns used by leading AI teams today.

You will begin by learning how to create Autonomous AI Agents capable of planning tasks, executing tools, storing memory, reflecting on results, and generating structured outputs. Next, you'll dive into Advanced Retrieval-Augmented Generation (RAG), learning how to build enterprise-grade knowledge systems using Hybrid Retrieval, Knowledge Graphs, Agentic RAG, and source-grounded responses.

The course then explores the rapidly growing ecosystem around the Model Context Protocol (MCP). You will build reusable MCP servers, connect AI systems to databases and APIs, and learn how modern agents interact with external tools and resources.

You'll also learn how to build Browser Agents that navigate websites, extract information, automate workflows, and operate as AI-powered digital workers. From there, you'll move into Multi-Agent Systems, where specialized agents collaborate through orchestration frameworks such as LangGraph to solve complex business problems.

In the second half of the bootcamp, you'll explore Multimodal AI, combining Text, Images, Documents, and Voice into intelligent applications capable of understanding and reasoning across multiple data types.

Finally, you'll learn how professional AI teams evaluate, monitor, govern, and deploy AI systems using AI Evaluation Frameworks, Observability, Guardrails, FastAPI, and production engineering practices.

By the end of this course, you will have built seven portfolio-ready projects:

• Autonomous Research Agent

Whether your goal is to become an AI Engineer, Agent Engineer, Generative AI Developer, Solutions Architect, or technical leader, this course will provide practical experience building the kinds of systems organizations are actively deploying today.

If you're ready to move beyond prompts and start building real AI Agents, RAG Systems, MCP Integrations, Multi-Agent Workflows, and Production AI Applications, this bootcamp is for you.