Gen AI Agentic Track
Completed by Castillo Garzon Santiago on October 15, 2025
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Badge ID: 2BLvf5ohRyCS73-aIacgHw
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Learning objectives
- Design and implement agentic AI systems using LangChain, LangGraph, and other frameworks to build intelligent, self-improving agents capable of reasoning and collaboration.
- Develop AI agents with retrieval-augmented generation (RAG) and LangChain technologies, applying prompt engineering and in-context learning to generate accurate responses and solve complex problems.
- Build and manage agent memory systems using LLMs, leveraging frameworks like Letta to extend memory beyond context windows and enable advanced reasoning capabilities.
- Orchestrate multi-agent systems using frameworks such as CrewAI and BeeAI, implementing design patterns and workflow strategies to create scalable and efficient AI applications.
Skills learned
Learning content completed
Some of the content and skills presented have been contributed by the content provider.