Agentic AI with LangChain and LangGraph
Completed by Samuel Wasserman
January 25, 2026
10 hours (approximately)
Samuel Wasserman'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: Responsible AI
- Category: LangChain
- Category: Generative AI
- Category: Generative AI Agents
- Category: Data Science
- Category: Prompt Patterns
- Category: Tool Calling
- Category: AI Workflows
- Category: LLM Application
- Category: Context Management
- Category: Retrieval-Augmented Generation
- Category: Agentic systems
