Agentic AI Bootcamp: Multi-Agent Systems using LangChain. Build Real-World Agents using Python, CrewAI, OpenAI, MCP

What you'll learn:

Master Agentic AI concepts: Planning, Reasoning, Tool Use, and Memory.
Build complex stateful workflows using LangGraph and LangChain.
Create Multi-Agent Systems where AI agents collaborate using CrewAI and AutoGen.
Implement Anthropic's MCP (Model Context Protocol) to standardise agent tool use.
Connect LLMs to the internet, databases, and APIs using Function Calling.
Develop robust agents with Human-in-the-loop approval workflows.
Deploy 8 Real-World Projects including Research Assistants and Coding Agents.

Is 2025 the year you master the next evolution of Artificial Intelligence?

Say goodbye to passive chatbots and hello to Agentic AI. The future belongs to intelligent agents that can reason, plan, execute code, and collaborate to solve complex real-world problems autonomously.

Welcome to the Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP, the most comprehensive and hands-on guide to building production-grade Autonomous AI Agents.

Whether you are a Python developer, Data Scientist, or AI Engineer, this course is your roadmap to mastering the leading frameworks: LangGraph, CrewAI, MCP, and the OpenAI Agents SDK.

Why This Course?
Unlike other courses that focus on theory, we focus on Engineering. You won't just learn about agents; you will build 8 distinctive, portfolio-ready Agentic Applications from scratch.

What You Will Master:

Agentic Fundamentals: Understand the shift from Prompt Engineering to Flow Engineering and Cognitive Architectures.
The Big 3 Frameworks: Deep dive into LangGraph (for control), CrewAI (for role-playing teams), and Microsoft AutoGen (for conversational swarms).
New Frontiers: Be among the first to implement Anthropic’s Model Context Protocol (MCP) for standardized tool connections.
Advanced Capabilities: Implement Memory (Short-term/Long-term), Human-in-the-loop systems, and RAG (Retrieval Augmented Generation) for agents.
Multi-Agent Orchestration: Learn how to make multiple AI agents communicate, debate, and achieve shared goals.

The Projects You Will Build:

Autonomous Research Agent: An agent that browses the web, summarizes news, and writes reports.
Coding & Debugging Agent: An AI pair programmer that writes and executes its own code.
Customer Support Swarm: A multi-agent system handling tickets, routing, and responses.
Data Analysis Droid: An agent capable of ingesting CSVs, analyzing trends, and generating charts.
Personal Executive Assistant: Connects to calendars and email to manage your life.

Tech Stack Covered: