This certification, built around Stanford's CS329A video course, takes you from static LLMs to self-improving AI agents that actually think, act, and get better over time. You'll pick up hands-on skills in tool integration, execution feedback, and constitutional design,which translates into fewer hallucinations, faster debugging, and sharper decision-making, not to mention a serious competitive advantage and a future-proof career. If you're ready to build AI that learns from its own mistakes and earns trust in real-world systems, this is the course for you.
This certification covers the following topics:
- Building autonomous agents from base LLMs
- Connecting agents to external tools and APIs
- Execution feedback loops for self-correction
- Constitutional AI principles and behavior guardrails
- Reducing hallucinations through iterative reflection
- Automated debugging and code repair with agents
- Designing safe multi-step reasoning workflows
- Evaluating agent performance and reliability
- Prompt engineering for agentic behavior
- Deployment strategies for production-ready agents
