Agentic AI LangGraph Course teaches developers to build MCP servers, multi-agent workflows, streaming and more AI systems in 2 hours.
Course Overview of Agentic AI LangGraph
The Agentic AI LangGraph Course is a top AI development course for anyone aiming to master the future of AI agents and multi-agent systems. Using LangGraph and MCP servers, you’ll gain the ability to design reliable, scalable, and controllable AI workflows for real-world applications.
This free course blends artificial intelligence, machine learning, and programming concepts to help developers and AI engineers implement autonomous agents with streaming support, memory integration, and human-in-the-loop (HITL) mechanisms. By the end, you’ll be able to deploy a full project management-ready AI system with Next-gen agent orchestration.
What Makes LangGraph Unique
- Reliability & Safety in AI – With moderation checks and ethical AI design, LangGraph ensures AI safety while maintaining flexibility.
- Extensibility for Developers – Perfect for AI programming, offering low-level primitives for custom AI agent design.
- Real-Time Streaming AI – Token-by-token visibility provides transparency for AI research and AI developers.
The Agentic AI LangGraph Course puts these features into practice, making it one of the best AI courses for AI development and LangGraph training.
Learning Outcomes of Agentic AI LangGraph Course
By the end of this Agentic LangGraph course, you will:
- Understand AI agent architecture and LangGraph project structure.
- Build chatbots and multi-agent workflows with React agent models.
- Add AI tools for automation and state management.
- Implement memory systems for long-running AI workflows.
- Use streaming AI to visualize decision-making.
- Add HITL approval systems for responsible AI deployment.
- Deploy a custom MCP server integrated with LangGraph AI agents.
Course Modules of Agentic LangGraph
1. Introduction and Agenda (00:00:00)
A breakdown of AI agent workflows, the role of LangGraph, and why MCP server development is vital for modern AI engineers.
2. LangGraph Project Structure (00:03:37)
Organize your AI programming project for scalability and long-term AI development.
3. Core Building Blocks (00:11:15)
Learn the AI components that make up LangGraph, from state machines to custom workflows.
4. Building a Basic Chatbot (00:23:47)
Design your first AI chatbot that lays the foundation for advanced AI development.
5. Enhancing Chatbot With Tools (00:49:05)
Integrate AI tools for real-world functionality and AI automation.
6. ReACT Agent Architecture (01:18:37)
Implement AI agent reasoning models using ReACT architecture.
7. Adding Memory (01:26:22)
Enable persistent context for long-term AI interactions.
8. Streaming Features (01:35:00)
Visualize token-by-token processing with real-time AI streaming.
9. Human-in-the-Loop Feedback (01:44:58)
Add moderation systems and AI safety protocols.
10. MCP Server Implementation (01:52:42)
Deploy a custom MCP server for AI integration and multi-agent orchestration.
Why This Agentic LangGraph Course Matters
The Agentic AI LangGraph Course bridges the gap between AI programming and practical deployment. It’s not just about machine learning concepts—it’s about building production-ready AI systems.
- Learn AI programming basics while deploying advanced systems.
- Apply AI research directly to scalable applications.
- Gain skills in ethical AI design and autonomous system deployment.
Final Thoughts of Agentic AI LangGraph Course
This Agentic AI LangGraph Course is the best course for developers who want to combine AI research with real-world engineering. Here is a course materials. From chatbots to multi-agent orchestration, from streaming AI to MCP server deployment, you’ll finish this course with the confidence to build scalable, ethical, and intelligent AI systems.
