About Course
Build agentic AI systems that take action through iterative, multi-step workflows. In this course taught by Andrew Ng, you’ll gain a fundamental understanding and practical knowledge to develop production-ready agentic applications, from design patterns to deployment and evaluation.
You’ll master four design patterns that power agentic AI systems:
- Reflection: AI critiques its own work and iterates to improve quality—like code review, but automated.
- Tool Use: Connect AI to databases, APIs, and external services so it can actually perform actions, not just generate text.
- Planning: Break complex tasks into executable steps that AI can follow and adapt when things don’t go as expected.
- Multi-Agent: Coordinate multiple specialized AI systems to handle different parts of a complex workflow.
What Will You Learn?
- Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
- Integrate AI with external tools: databases, APIs, web search, and code execution
- Evaluate and optimize AI systems: performance metrics, error analysis, and production deployment







