Build production-ready multi-agent AI systems with orchestration, tools, memory, and deployment in 3 days
Sub Category
- Data Science
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Objectives
- Design and build multi-agent AI systems with specialized agent roles
- Implement agent orchestration workflows (Planner–Worker, Manager–Executor patterns)
- Integrate tools, APIs, and RAG-based memory into agent systems
- Develop production-ready architectures with FastAPI and simple UIs
- Apply guardrails, evaluation, and monitoring for reliable AI systems
- Optimize systems using parallel execution, caching, and cost control
Pre Requisites
- Basic understanding of AI/LLMs (helpful but not required)
- Beginner-level Python knowledge (variables, functions, basic scripts)
- Familiarity with using tools like ChatGPT or Claude
- A computer capable of running Python (Mac, Windows, or Linux)
- Internet connection for accessing APIs and tools
- Willingness to build hands-on projects and experiment
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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Coupon Code(s)