Professional Certification Program

Certified AI Product Manager Lead the Future of AI Products

Gain the skills to manage, design, and deliver AI-powered products. Learn how to bridge technology and user needs, identify AI opportunities, and drive innovation with confidence.

🧠
AI Foundations
Understand AI concepts essential for modern product managers.
⚙️
Practical Integration
Learn how to embed AI into product delivery and lifecycle.
🚀
Innovation Leadership
Lead AI-driven transformations with strategic insight.

What you will learn

Become a Job-Ready
AI Product Manager

In the Certified AI Product Manager program, you will learn how to bridge AI technology with real customer needs, build smarter products, and confidently lead AI initiatives. This course provides the essential frameworks, tools, and practical knowledge required to manage AI-driven products end-to-end.

  • Understand fundamental AI concepts and how they impact modern product management.
  • Learn how to identify AI opportunities and evaluate the feasibility of AI solutions.
  • Integrate AI into product planning, delivery workflows, and post-release optimisation.
  • Work effectively with data scientists, engineers, and business leaders to ship AI-powered products.
  • Understand AI governance, ethics, and risk considerations every PM must manage.
  • Create a practical roadmap to launch successful AI initiatives with measurable impact.
Product managers collaborating on AI-driven product strategy

There are 4 modules in this course

This Certified AI Product Manager course gives you a complete view of how AI fits into modern product management. Across four practical modules, you’ll learn core AI concepts, real product use cases, strategic integration, and the next steps to grow your career in AI product management.

Product Management in the Age of AI
Module 1  •  45 minutes to complete
Module details

Build a strong foundation on how AI is transforming the role of product management. You’ll explore how AI works at a high level and what it means for product managers, product owners, and business leaders driving AI initiatives.

What's included
5 videos
5 videos
• Total 45 minutes
  • Introduction to AI and Product Management • 7 minutes
  • Demystifying AI • 8 minutes
  • AI and the Role of Product Managers • 10 minutes
  • AI and the Role of Product Owners • 10 minutes
  • AI and the Role of Business Leaders • 10 minutes
Use Cases for AI in Product Management
Module 2  •  25 minutes to complete
Module details

Discover where AI creates real value across the product lifecycle. From delivery to post-release optimisation, you’ll explore practical AI use cases that help you ship better products, faster, and continuously improve them in-market.

What's included
2 videos
2 videos
• Total 25 minutes
  • Integrating AI into Product Delivery • 12 minutes
  • Utilising AI in Post-Release Product Management • 13 minutes
Strategic Integration
Module 3  •  15 minutes to complete
Module details

Learn how to spot high-value AI opportunities and align them with customer needs and business goals. This module helps you think strategically about where AI belongs in your product and how to prioritise what to build.

What's included
1 video
1 video
• Total 15 minutes
  • Identifying AI Opportunities • 15 minutes
Wrap Up and Next Steps
Module 4  •  20 minutes to complete
Module details

Consolidate your learning and plan how to apply it in your current or next product role. You’ll review key concepts, explore further resources, and define clear next steps in your journey as an AI Product Manager.

What's included
2 videos
2 videos
• Total 20 minutes
  • Course Summary • 8 minutes
  • Resources for Further Learning • 12 minutes
🎓
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review to highlight your AI product management skills.

What professionals say about this AI product management course

Ananya M.
Senior Product Manager, B2B SaaS

“I’ve taken a few AI courses before, but this is the first one that truly spoke the language of product management. I walked away with concrete ways to apply AI to our roadmap, backlog and stakeholder conversations.”

David L.
Product Owner, Fintech

“The modules on use cases and post-release optimisation were game-changing. I now know how to frame AI problems for our data team and how to measure impact beyond just ‘we used a model’.”

Sofia R.
Group Product Manager, E-commerce

“This course finally bridged the gap between AI theory and day-to-day product work. The way it explained responsibilities across PMs, POs and business leaders helped me redesign how we run AI initiatives.”

Karthik N.
Software Engineer transitioning to Product Management

“The structure was perfect for someone pivoting into product. I now have a clear view of where AI fits into the product lifecycle and I used the course learnings directly in my interview case studies.”

Frequently asked questions

What is the Certified AI Product Manager course about?

This course shows you how to use AI in real product work – from understanding the basics of AI, to identifying opportunities, working with technical teams, and managing AI-powered features throughout the product lifecycle.

It’s designed to bridge the gap between AI concepts and day-to-day product management, so you can speak confidently about AI with stakeholders and make better product decisions.

Is this course right for me and my current role?

This course is ideal for product managers, product owners, aspiring PMs, business analysts, founders, and tech leaders who want to understand how to practically apply AI to products.

Even if your product doesn’t use AI yet, the course will help you spot relevant use cases, ask better questions, and prepare your roadmap for AI-driven features.

Do I need a technical or coding background?

No. You don’t need to write code or build models to benefit from this course. We focus on product decisions, use cases, and collaboration – not on the math behind AI.

A basic comfort with digital products and data is helpful, but you do not need to be a data scientist or engineer to follow along.

How long does it take to complete the course?

The course is designed to be completed in a short time frame – many learners finish it over 1–2 weeks by dedicating around 1.5–3 hours per week.

You can go faster or slower based on your schedule, as all lessons are pre-recorded and available on demand.

Is the course self-paced and fully online?

Yes. The course is fully online and self-paced. You can watch the videos, pause, revisit modules, and continue exactly where you left off – from any device.

This makes it easy to fit learning around a full-time job or other commitments.

Will this course actually help my career or job search?

Yes – AI literacy is becoming a key expectation for product roles. This course helps you talk clearly about AI in interviews, performance reviews, and stakeholder meetings.

You’ll be able to show that you understand how to turn AI capabilities into real product value, which is a strong differentiator in the market.

Will I receive a certificate of completion?

Yes. After you complete all modules, you’ll receive a digital certificate for the Certified AI Product Manager course.

You can add it to your LinkedIn profile, CV, or portfolio to highlight your AI product management skills.

What learning materials are included?

The course includes video lessons, practical examples, and guided explanations of AI use cases in product management.

You’ll also get clear frameworks you can reuse when evaluating new AI ideas or shaping your roadmap.

Can my company sponsor or reimburse this course?

In many cases, yes. Companies increasingly support AI and product management training as part of learning and development budgets.

You can share the course details and certificate information with your manager or HR department to request sponsorship or reimbursement.

How long will I have access to the course materials?

You keep access to the course for an extended period after enrollment, so you can come back to key modules whenever you start a new AI project or need a refresher.

Many learners revisit specific lessons when preparing for interviews or planning new AI-powered features.