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Intermediate
Artificial Intelligence & Machine Learning
en
Agentic AI Engineer with LangChain and LangGraph
Udacity
Platform
· California, USA
About this course
Agentic AI Engineer with LangChain and LangGraph is an intermediate nanodegree program for Python developers that teaches how to turn large-language-model applications into fully autonomous agents. Learners start with LangChain fundamentals—prompt templates, chains, memory, and single‑tool agents—then progress to multi‑tool planning, self‑critique loops, and deployment practices. Finally, they integrate external knowledge through retrieval‑augmented generation, long‑term memory, and multi‑agent collaboration, building practical agentic AI systems with LangChain and LangGraph.
Prerequisite Skills
Skills you should have before taking this course
Intermediate Python
Large language models (LLMs)
Written and spoken English communication
Skills Gained
Skills you will develop by completing this course
multi-agent systems
Retrieval-augmented generation (RAG)
Agentic AI design patterns
LangChain fundamentals
LangGraph workflows
Long-term memory for AI agents
Agent orchestration and data routing
Agent evaluation and observability