What You'll Learn
- 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
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Developers and engineers who want to build real-world AI systems, not just prompts
- Product managers and tech leaders exploring agentic AI and automation strategies
- AI enthusiasts looking to move from theory to hands-on system building
- Founders and builders creating AI-powered products or startups
- Professionals aiming to future-proof their careers with multi-agent system skills
- Anyone serious about going from LLMs → Agent Systems → Production AI
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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