Build real-world AI agents & apps using LangChain, LangGraph, CrewAI, OpenAI SDK, AutoGen, and Anthropic's MCP
Sub Category
- Other IT & Software
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Objectives
- Learn to build intelligent agents from scratch using LangChain, LangGraph, and LLMs to solve real-world business tasks.
- Get hands-on with state management, structured outputs, and dynamic agent behavior to create responsive, scalable AI systems.
- Develop collaborative agent ecosystems that communicate and solve complex challenges using cutting-edge agent architecture.
- Build autonomous agents for coding, research, and task automation using CrewAI, OpenAI SDK, and proven AI design patterns.
- Discover how to deliver business-ready agentic AI solutions with 8+ real-world projects and open-source integrations.
- Stay ahead in AI with tools like AutoGen Core, Anthropic’s MCP, and repeatable Agentic patterns for robust AI development.
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.).
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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