Agentic AI with LangChain and LangGraph
Completed by YU HAN LAI
April 11, 2026
10 hours (approximately)
YU HAN LAI's account is verified. Coursera certifies their successful completion of Agentic AI with LangChain and LangGraph
What you will learn
Build agentic AI systems using LangChain and LangGraph to support memory, iteration, and conditional logic
Design and implement self-improving agents using Reflection, Reflexion, and ReAct architectures
Apply agent orchestration techniques to build collaborative multi-agent systems
Implement agentic RAG systems that route queries and support retrieval-enhanced reasoning
Skills you will gain
- Category: Context Management
- Category: Tool Calling
- Category: AI Orchestration
- Category: Python Programming
- Category: Risking
- Category: AI Workflows
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: LangGraph
- Category: Agentic systems
- Category: Agentic Workflows
- Category: LLM Application
- Category: Retrieval-Augmented Generation
