Design, build, and scale autonomous AI systems with memory, tools, and multi-agent workflows
Sub Category
- Data Science
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Objectives
- Design and build autonomous AI agents that can plan, reason, and execute multi-step tasks independently
- Implement tool calling and integrations to connect AI agents with APIs, databases, and real-world systems
- Develop memory systems (short-term and long-term) to create context-aware and intelligent AI behavior
- Build and orchestrate multi-agent systems with supervisor-worker architectures and task delegation
- Apply planning and decision-making techniques to enable goal-driven and adaptive AI workflows
- Optimize and scale AI systems for performance, cost efficiency, and real-world deployment
Pre Requisites
- Basic understanding of Python or any programming language (helpful but not mandatory)
- Familiarity with AI tools like ChatGPT or Claude is beneficial
- A laptop or computer with internet access
- Willingness to learn by building real projects and experimenting
- Basic understanding of APIs or workflows (optional, will be covered)
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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