Build Agentic AI with LangChain, LangGraph & CrewAI — create AI Agents, use tools, and manage memory.
Sub Category
- Other IT & Software
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Objectives
- Understand the core concepts and foundations of Agentic AI systems.
- Gain hands-on experience building AI agents using frameworks like LangChain, LangGraph and CrewAI.
- Learn to orchestrate tools, memory, and reasoning for enterprise-grade Agentic AI workflows.
- Monitor, evaluate, and productionize Agentic AI using real-world metrics and best practices using real world capstone projects.
- Build and deploy real-world AI agents using LangChain, LangGraph & CrewAI.
- Work on practical projects building AI agents with reasoning, planning & autonomy.
- Project1 - Build a Personal Research Assistant AI Agent that autonomously gathers, summarizes, and synthesizes data using ReAct, FAISS, LangChain, and memory.
- Project2 - Build an Investment Analyst AI Agent that researches companies, summarizes insights, performs SWOT analysis, and flags risks using LangChain tools
Pre Requisites
- Basic Python programming knowledge.
- Familiarity with REST APIs and JSON.
- Some exposure to LLMs (like OpenAI, Claude, etc.) is helpful but not mandatory.
- Familiarity with Ubuntu or any other Unix environment is preferred. Enterprise grade Agentic AI face some limitations in Windows environment.
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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