Agentic AI Tutorial for Beginners | Langgraph Tutorial
This course is designed for AI enthusiasts who want hands-on experience building agentic AI systems using LangGraph. Through different use cases and practical exercises, you'll learn how modern AI agents work together to automate complex tasks in real business settings. You'll learn how to define graph states with TypedDict, understand conditional routing with dynamic branching, and master key LangGraph concepts such as Nodes, Edges, State, and Graphs. The course covers building custom tools using the tool decorator, configuring agents with tool-binding, and integrating external tools like web search. You'll then build an agentic chatbot, apply advanced features like memory, tracing, and human-in-the-loop approvals, and run autonomous tool-calling for efficiency. By the end, you'll have a complete hands-on exercise and a clear understanding of the full LangGraph development lifecycle, from graph definition to agentic orchestration.
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This micro course includes:
- 01h:15m:48s on-demand videos
- 10 Lectures
- 1 Quiz (paid access)
- Access on any Device
- Certificate of completion (paid access)
Course Curriculum
10 Lectures | 01h:15m:48s
1:
Langgraph Tutorial and Project
11 Lectures
-
1.1: Introduction
Free -
1.2: LangChain vs LangGraph
Free -
1.3: Environment Setup
Free -
1.4: Build Your First LangGraph
Free -
1.5: Graphs with Conditional Logic
Free -
1.6: Build a Simple Chatbot
Free -
1.7: AI Agents With Tools
Free -
1.8: AI Agents With Memory
Free -
1.9: Tracing With LangSmith
Free -
1.10: Human In The Loop - HITL
Free -
1.11: Exercise
Free
Course Instructor/Creator
This micro course includes:
- 01h:15m:48s on-demand videos
- 10 Lectures
- 1 Quiz (paid access)
- Access on any Device
- Certificate of completion (paid access)
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