PaidIntermediateAI Agents
DeepLearning.AI
Agentic AI
Build iterative, multi-step agent workflows and learn the design patterns behind reliable agentic systems.AccessPaidAvailable through the provider’s paid learning plan.
DurationSelf-paced programmeSelf-paced unless the provider states otherwise
CertificateCertificate included with eligible planConfirm current eligibility before enrolling
Editorial perspective
Why consider it
It is taught by Andrew Ng and focuses on engineering patterns, reflection, tool use and evaluation rather than treating agents as a single prompt.
Practical outcomes
What you should be able to do
- Design multi-step agent workflows
- Use tools and reflection patterns
- Evaluate and improve agent behaviour
Fit check
Who it suits
Developers who can already build basic LLM applications and want a structured agent curriculum.
DevelopersAI engineers