GenAI Training Path - Agentic Track
Completed by Enrique Clerici on October 22, 2025
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Building AI Agents with LangChain, LangGraph, and Advanced Frameworks Get ready to master the fundamentals and practices of AI agents with a focus on modern frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and BeeAI. By the end of the track, you will be able to: -Create AI agents that use RAG (Retrieval-Augmented Generation) -Design workflows with LangChain and LangGraph -Implement self-improving agents with memory -Explore alternative frameworks for AI systems
Learning objectives
- Develop multi-agent AI systems that coordinate tasks and solve complex problems using LangChain, LangGraph, and RAG.
- Implement persistent and collaborative memory in LLM agents using the Letta framework and concepts from MemGPT.
- Design and orchestrate autonomous agents using frameworks such as CrewAI and BeeAI to efficiently perform complex tasks.
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