Build a full AI OS using Claude, multi-agent systems, memory, and automation with real-world projects
Sub Category
- Data Science
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Objectives
- Build a complete AI Operating System by combining agents, memory, and automation into one unified system
- Design and deploy intelligent AI agents using structured prompts, reasoning, and multi-step workflows
- Create and manage multi-agent systems with supervisor-worker architectures and task orchestration
- Implement memory-driven AI systems using vector databases, embeddings, and context injection techniques
- Develop tool-calling and automation pipelines to connect AI with real-world APIs, workflows, and data systems
- Build long-running autonomous AI systems with event-driven execution, scheduling, and feedback loops
- Optimize AI systems for performance, cost, and scalability including token efficiency and latency reduction
- Apply skills through real-world projects like personal AI assistants, business automation systems, and research agents
Pre Requisites
- Basic understanding of programming concepts (Python or JavaScript is helpful but not mandatory)
- Familiarity with using web applications and APIs is a plus, but everything will be explained step-by-step
- No prior experience in AI or machine learning is required — this course starts from fundamentals
- A computer or laptop with a stable internet connection
- Willingness to learn by building real-world projects and experimenting with AI systems
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)