Agentic AI with LangChain and LangGraph
Completed by Daryl T Mullins
April 6, 2026
10 hours (approximately)
Daryl T Mullins'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: Tool Calling
- Category: AI Workflows
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Context Management
- Category: LLM Application
- Category: Retrieval-Augmented Generation
- Category: Prompt Patterns
- Category: Agentic Workflows
- Category: Python Programming
- Category: LangGraph
- Category: AI Orchestration
- Category: Risking
