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⇱ Product Management with AI | Coursera

Product Management with AI

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Product Management with AI

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand AI Applications in Product Management: Explore how AI supports product planning, customer analysis, and roadmap development.

  • Evaluate AI Product Analytics Tools: Assess AI tools that improve user research, product insights, and faster analysis workflows.

  • Strengthen Product Research and Planning: Apply AI-supported approaches to improve roadmap prioritization and product decision accuracy.

  • Implement AI-Driven Product Strategies: Identify AI opportunities that strengthen customer insights and strategic business outcomes.

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Recently updated!

February 2026

Assessments

8 assignments

Taught in English

There are 8 modules in this course

Artificial intelligence is changing how product teams plan roadmaps, evaluate customer needs, and improve product decisions across business environments. Organizations are increasingly using AI-powered tools to accelerate research, improve analysis, and strengthen product planning workflows.

This Product Management with AI course is designed for product managers, founders, business professionals, and learners seeking practical knowledge of AI in product environments. Learners will explore how AI technologies support user research, product analytics, roadmap planning, and customer insight generation without requiring advanced technical expertise. The course focuses on implementation-oriented product management applications and modern business workflows. You’ll examine how AI tools support feature prioritization, market evaluation, product optimization, and strategic analysis. Through practical scenarios, learners will explore how AI supports product discovery, analytics interpretation, workflow efficiency, and faster research processes. You’ll also learn how professionals evaluate AI opportunities, improve planning accuracy, and support responsible AI use across product environments. In addition, the course introduces foundational concepts around AI governance, ethical AI adoption, and implementation approaches used within modern product teams. By the end of the course, you’ll be able to identify AI opportunities in product management, improve roadmap prioritization, accelerate product research workflows, strengthen customer insight generation, and apply AI-supported approaches to improve strategic decision-making. Enroll in this AI product management course to build practical product strategy skills and support modern product operations with greater confidence.

This module introduces the overall certification structure and explains how the learning experience is organized throughout the course. To support different learning preferences, the content is offered in multiple formats, including Videos, eBooks, Audiobooks, and Podcasts. Each format covers the same key concepts, giving you the flexibility to learn in the way that works best for you. You can choose any format based on your preferred learning style and move through the course at your own pace.

What's included

11 videos1 reading1 assignment2 plugins

11 videos•Total 131 minutes
  • Navigation Video•2 minutes
  • Audiobook: Course Introduction•6 minutes
  • Course Introduction•4 minutes
  • Audiobook: Module 1: Introduction to AI for Product Managers•47 minutes
  • Podcast: Module 1: Introduction to AI for Product Managers•41 minutes
  • 1.1 What is AI?•3 minutes
  • 1.2 Branches of Artificial Intelligence•6 minutes
  • 1.3 Deep Dive into AI Applications for Product Management•6 minutes
  • 1.4 The Role of an AI Product Manager•4 minutes
  • 1.5 Introduction to the Importance of AI in Product Development•4 minutes
  • 1.6 Challenges of AI in Product Development•6 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 1•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 1: Introduction to AI for Product Managers•15 minutes
  • ACTIVITY: Tab•15 minutes

What's included

8 videos1 reading1 assignment2 plugins

8 videos•Total 106 minutes
  • Audiobook: Module 2: Fundamentals of Machine Learning•38 minutes
  • Podcast: Module 2: Fundamentals of Machine Learning•44 minutes
  • 2.1 Introduction to Machine Learning•4 minutes
  • 2.2 How Machine Learning Works•3 minutes
  • 2.3 Types of Machine Learning•5 minutes
  • 2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine Learning•5 minutes
  • 2.5 Why We Need Data Preprocessing•4 minutes
  • 2.6 Data Preprocessing Steps in Machine Learning•5 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 2•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 2: Fundamentals of Machine Learning•15 minutes
  • ACTIVITY: Case Study•15 minutes

What's included

10 videos1 reading1 assignment2 plugins

10 videos•Total 136 minutes
  • Audiobook: Module 3: AI Product Development Lifecycle•51 minutes
  • Podcast: Module 3: AI Product Development Lifecycle•57 minutes
  • 3.1 The Integration of AI into Product Development•4 minutes
  • 3.2 Role of AI in Product Development•4 minutes
  • 3.3 AI Transforming Product Development•4 minutes
  • 3.4 Merits of AI in Product Development•3 minutes
  • 3.5 Different Stages of AI Product Development•2 minutes
  • 3.6 Use Cases of AI for Product Development in Different Industries•3 minutes
  • 3.7 Methods for Prototyping and Testing AI-Driven Products•5 minutes
  • 3.8 Best AI Tools for Product Managers•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 3•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 3: AI Product Development Lifecycle•15 minutes
  • ACTIVITY: Sequence Arrangement•15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videos•Total 122 minutes
  • Audiobook: Module 4: AI Ethics and Bias•48 minutes
  • Podcast 4: AI Ethics and Bias•40 minutes
  • 4.1 Bias, Fairness, and Privacy Protection•3 minutes
  • 4.2 Transparency, Explainability, and Responsibility•3 minutes
  • 4.3 Safety, Reliability, and Social Impact•3 minutes
  • 4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous Monitoring•4 minutes
  • 4.5 Bias: What It Is, Its Sources, and the Possibility of Eliminating It•4 minutes
  • 4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and Products•6 minutes
  • 4.7 Key to Fix Bias in AI and Machine Learning Algorithms•3 minutes
  • 4.8 Tools to Reduce Bias: AI Fairness 360•3 minutes
  • 4.9 Tools to Reduce Bias: IBM Watson Open Scale and Google’s What-If Tool•2 minutes
  • 4.10 Examples: What Are Some Real-World Examples of AI Bias?•3 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 4•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 4: AI Ethics and Bias•15 minutes
  • ACTIVITY: Case Study•15 minutes

What's included

12 videos1 reading1 assignment2 plugins

12 videos•Total 148 minutes
  • Audiobook: Module 5: AI Implementation Strategies•53 minutes
  • Podcast: Module 5: AI Implementation Strategies•53 minutes
  • 5.1 Steps for AI Integration and Product Enhancement•6 minutes
  • 5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI Integration•3 minutes
  • 5.3 Implementing AI in Your Product and Selecting Tools & Frameworks•6 minutes
  • 5.4 Developing AI Models and Deploying AI Features•4 minutes
  • 5.5 Monitoring and Improving AI Performance•3 minutes
  • 5.6 Examples of AI Integrations•3 minutes
  • 5.7 Methods to Integrate AI into an App•3 minutes
  • 5.8 Key Steps and Strategies in Stakeholder Management for Product Teams•5 minutes
  • 5.9 Benefits and Role of Stakeholders in Product Management•5 minutes
  • 5.10 What Is It That Stakeholders Really Want?•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 5•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 5: AI Implementation Strategies•15 minutes
  • ACTIVITY: Carousel•15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videos•Total 151 minutes
  • Audiobook: Module 6: AI Metrics and Performance Evaluation•45 minutes
  • Podcast: Module 6: AI Metrics and Performance Evaluation•62 minutes
  • 6.1 KPI: Introduction, Evolution, and Common KPIs for AI in Marketing•7 minutes
  • 6.2 AI-Enhanced Tracking of KPIs•4 minutes
  • 6.3 Examples of AI Tools for KPI Measurement and Analytics•3 minutes
  • 6.4 Case Studies in AI-Driven KPI Measurement•6 minutes
  • 6.5 KPI Dashboard Software and Tools•6 minutes
  • 6.6 Introduction to Performance Evaluation•3 minutes
  • 6.7 Techniques Used for Performance Evaluation: Confusion Matrix•5 minutes
  • 6.8 Techniques Used for Performance Evaluation: AUC-ROC Curve•6 minutes
  • 6.9 Techniques Used for Performance Evaluation: Gini Coefficient and R-Squared/Adjusted R-Squared•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 6•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 6: AI Metrics and Performance Evaluation•15 minutes
  • ACTIVITY: Drag and Drop•15 minutes

What's included

11 videos1 reading1 assignment2 plugins

11 videos•Total 143 minutes
  • Audiobook: Module 7: AI Regulation and Compliance•42 minutes
  • Podcast: Module 7: AI Regulation and Compliance•61 minutes
  • 7.1 Introduction to the Regulatory Landscape: AI Regulations Across Different Countries•6 minutes
  • 7.2 Key Global Regulations•4 minutes
  • 7.3 Key Regulatory Rules Required for AI•4 minutes
  • 7.4 Entities Most Adversely Affected by AI Regulations•3 minutes
  • 7.5 Impact on AI Companies•3 minutes
  • 7.6 Introduction to AI Regulatory Compliance•5 minutes
  • 7.7 Compliance Strategies•5 minutes
  • 7.8 Role and Importance of Data Privacy in AI Compliance•6 minutes
  • 7.9 The Role of Legal Professionals in Ensuring Compliance with AI Regulations•5 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 7•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 7: AI Regulation and Compliance•15 minutes
  • ACTIVITY: Hotspot•15 minutes

What's included

6 videos1 reading1 assignment2 plugins

6 videos•Total 90 minutes
  • Audiobook: Module 8: Future Trends in AI and Product Management•20 minutes
  • Podcast: Module 8: Future Trends in AI and Product Management•50 minutes
  • 8.1 Key Trends to Watch Out For•6 minutes
  • 8.2 Step-by-Step Guide to Strategic Planning•5 minutes
  • 8.3 Strategic Plan•6 minutes
  • Course Summary•4 minutes
1 reading•Total 10 minutes
  • Hands on•10 minutes
1 assignment•Total 30 minutes
  • Quiz 8•30 minutes
2 plugins•Total 30 minutes
  • EBook: Module 8: Future Trends in AI and Product Management•15 minutes
  • ACTIVITY: Scenario Activity•15 minutes

Instructor

AI CERTs
58 Courses•43,878 learners

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Frequently asked questions

This course is designed for product managers, founders, analysts, and professionals exploring AI in modern product environments.

No. The course is beginner-friendly and focuses on practical AI applications for product workflows.

You’ll learn how AI supports product analytics, roadmap planning, customer research, and strategic product decisions.

AI helps improve research speed, feature prioritization, planning accuracy, and customer insight generation.

Yes. The course is designed for both technical and non-technical business professionals.

Yes. The course explores AI-assisted analytics and modern product management technologies.

Yes. AI-supported approaches can help strengthen planning efficiency, product insights, and strategic alignment.

Technology companies, startups, enterprises, consulting firms, and digital businesses benefit from AI-powered product workflows.

No coding is required. The course focuses on practical AI applications for product management environments.

The course helps build practical AI product management and analytical skills relevant to modern business environments.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,