Learn to build real-world AI agents, multi-agent workflows, and autonomous apps with LangGraph and LangChain
Sub Category
- Data Science
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Objectives
- Understand the core principles of Agentic AI and how to design intelligent, autonomous agents for real-world tasks.
- Master building AI agents using LangGraph, including creating workflows, managing agent state, memory, and event-driven behavior.
- Develop and deploy multi-agent collaborative systems that can communicate, reason, and solve complex problems together.
- mplement hands-on projects to create powerful agentic applications like autonomous research agents, task automation systems, and knowledge retrieval assistants.
Pre Requisites
- Basic knowledge of Python programming (variables, functions, classes).
- Understanding of APIs and RESTful services (basic level).
- Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
- Curiosity and willingness to build real-world AI applications — no prior experience with LangGraph needed!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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