CourseIntermediate5 hours 54 mins

Agentic AI

Instructor: Andrew Ng

DeepLearning.AI

  • Intermediate
  • 5 hours 54 mins
  • 31 Video Lessons
  • 7 Code Examples
  • Instructor: Andrew Ng

What you'll 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

Why Enroll?

Agentic AI represents a new way of building software that leverages LLMs to complete some or all of the steps in complex tasks. Instead of generating single responses to prompts, agentic workflows enable AI to plan multi-step processes, execute them iteratively, and improve outputs through reflection and tool use. This course teaches you to build these sophisticated AI systems from the ground up.

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.

The course emphasizes practical implementation using Python, building each pattern from first principles before exploring frameworks, giving you the flexibility to customize AI workflows for your specific needs. You’ll learn to deconstruct business processes into agentic workflows, identifying where human-like iteration and tool interaction can automate complex tasks. Critical evaluation skills are woven throughout—you’ll build robust testing frameworks, conduct systematic error analysis, and optimize systems for production deployment.

You’ll earn a certificate upon completing the course, recognizing your skills in building agentic workflows.

Instructor

Andrew Ng

Andrew Ng

Founder, DeepLearning.AI; Co-founder, Coursera

Who this course is for

  • Software developers who want to apply AI techniques to build autonomous systems that handle multi-step workflows.

  • Professionals with intermediate-level Python programming skills to be able to follow along with the implementations.

  • Professionals with a basic understanding of large language models and APIs who want to deepen their practical skills.

Course Outline

Agentic AI

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Frequently Asked Questions

What additional features do I get with the DeepLearning.AI Pro membership for this course?

With a Pro membership, you’ll unlock features that support hands-on, practical learning:

  • Access to quizzes and interactive labs within this course

  • A certificate of completion upon finishing the course

  • The ability to save your progress and resume anytime

  • Access to related learning tracks in the professional certificate series

  • Practice projects that help you apply what you’ve learned

  • Community support and a global network of peers

  • Weekly updates on new AI tools and techniques

If you choose to audit the course for free, you’ll still be able to watch the course videos and participate in the community forum, but you won’t have access to assessments, certificates, or project tools.

Can I take this course at my own pace?

Yes, the course is designed to be self-paced.

How much does the DeepLearning.AI Pro membership cost?

The DeepLearning.AI Pro membership costs 25/mobilledannuallyand25/mo billed annually and 30/mo billed monthly.

More pricing details are available on the membership page.

Important details:

  • All prices are listed in USD
  • Payments are processed securely via Stripe
  • Taxes may apply depending on your location
Will I receive a certificate when I complete the course?

Yes, if you’re enrolled through the DeepLearning.AI Pro membership and complete the required assessments, you’ll receive a certificate upon completion. If you’re auditing the course for free, a certificate will not be provided.

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