
UdemyAs AI evolves from simple chatbots to autonomous entities, this course moves beyond basic prompt engineering to focus on Flow Engineering and cognitive architectures. It is designed for Python developers, Data Scientists, and AI Engineers who want to build production-grade, autonomous systems rather than just theoretical models.
The curriculum focuses on practical engineering through eight distinct, portfolio-ready projects. You will learn to manage complex agent interactions using industry-leading frameworks, including:
By the end of this guide, you will be able to implement advanced features like Human-in-the-loop systems, long-term memory, and multi-agent debate to solve real-world problems.
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:
Languages: Python (3.10+)
Frameworks: LangChain, LangGraph, CrewAI, OpenAI SDK
LLMs: OpenAI (GPT), Anthropic (Claude), Groq, and Local LLMs (Ollama)
Tools: Tavily Search, ChromaDB, Docker
Don't let the AI revolution pass you by. Join the Agentic AI revolution today and start building the autonomous workforce of tomorrow!
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Tracking since 5 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.