How is AI applied in product management?

AI supports roadmap planning, user insights, demand forecasting, risk analysis, and resource optimization.

What tools will I work with?

You’ll explore tools like Hive, Wrike, Trello, and ClickUp for AI-assisted planning and execution.

Is this course theoretical or practical?

It balances concepts with hands-on exercises, case studies, and real-world product scenarios.

Will this help me make better product decisions?

Yes. You’ll learn data-driven techniques to reduce uncertainty and improve strategic product choices.

Can this course help with cross-functional collaboration?

Yes. AI-driven insights help align product, engineering, design, and business teams more effectively.

Does the course cover ethical use of AI?

Yes. It addresses bias, transparency, and responsible AI use in product decision-making.

How is this relevant to modern product roles?

AI is increasingly embedded in product workflows, making these skills essential for future-ready product leaders.

Can students or early-career professionals take this course?

Absolutely. The course is designed to build foundational and practical AI skills for career growth.

How will this course impact my career?

It strengthens your ability to lead AI-driven products, improving efficiency, innovation, and career prospects.

What will I get if I purchase the Certificate?

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.

Is financial aid available?

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.

Product Management with AI

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Product Management with AI

Instructor: AI CERTs Team

Included with

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8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

AI in Project Planning: Use AI to improve scheduling, forecasting, and real-time project decision-making.
Data-Driven Execution: Apply analytics and AI insights to manage risks, resources, and timelines effectively.
AI Tools for Teams: Leverage tools like Hive, Wrike, Trello, and ClickUp to boost collaboration and productivity.
Ethical AI Leadership: Integrate AI responsibly while managing bias, governance, and change in projects.

Skills you'll gain

Tools you'll learn

Collaborative Software

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 8 modules in this course

AI for Product Management equips current and aspiring product managers with the skills to build, prioritize, and deliver smarter products using artificial intelligence. This course focuses on how AI enhances product planning, execution, and cross-functional collaboration - helping teams move faster while making data-driven decisions.

Learners explore practical applications of AI across product lifecycles, including roadmap prioritization, risk forecasting, resource optimization, and performance tracking. The program emphasizes real-world scenarios where AI supports decision-making, improves visibility, and reduces delivery risks in complex, multi-disciplinary environments. Through hands-on projects and case studies, participants work with leading project and productivity tools such as Hive, Wrike, Trello, and ClickUp to apply AI-powered insights in planning, scheduling, and team coordination. The course also addresses ethical considerations, bias awareness, and governance to ensure responsible AI adoption in product and project workflows. By the end of the course, learners are prepared to lead AI-enabled product initiatives, align stakeholders with confidence, and drive measurable outcomes in fast-evolving digital organizations.

This module covers a quick summary of what the certification is going to cover from start to finish. Here is the brief about the structure of the overall certification: Each of our certifications follows a consistent, multimodal structure to provide a flexible learning experience. The content is available across four formats: eBooks: In-depth written material for focused learning. Audiobooks: Audio version of the eBook, perfect for learning on the go. Podcasts: Engaging audio content to reinforce key concepts. Videos: Modular video chunks, each covering a specific topic. The names of the eBooks, Audiobooks, and Podcasts are the same, ensuring you can seamlessly switch between formats without losing track of the content. Videos are divided into bite-sized modules for easier consumption, and all content across these mediums is consistent, so no matter which format you choose, the information remains the same. This gives you the freedom to learn in the way that works best for you.

What's included

10 videos1 reading1 assignment4 plugins

10 videosTotal 129 minutes

Audiobook: Course Introduction6 minutes
Course Introduction4 minutes
Audiobook: Module 1: Introduction to AI for Product Managers47 minutes
Podcast: Module 1: Introduction to AI for Product Managers41 minutes
1.1 What is AI?3 minutes
1.2 Branches of Artificial Intelligence6 minutes
1.3 Deep Dive into AI Applications for Product Management6 minutes
1.4 The Role of an AI Product Manager4 minutes
1.5 Introduction to the Importance of AI in Product Development4 minutes
1.6 Challenges of AI in Product Development6 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz 130 minutes

4 pluginsTotal 60 minutes

EBook: Module 1: Introduction to AI for Product Managers15 minutes
ACTIVITY: Drag and Drop15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

8 videos2 readings1 assignment4 plugins

8 videosTotal 106 minutes

Audiobook: Module 2: Fundamentals of Machine Learning38 minutes
Podcast: Module 2: Fundamentals of Machine Learning44 minutes
2.1 Introduction to Machine Learning4 minutes
2.2 How Machine Learning Works3 minutes
2.3 Types of Machine Learning5 minutes
2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine Learning5 minutes
2.5 Why We Need Data Preprocessing4 minutes
2.6 Data Preprocessing Steps in Machine Learning5 minutes

2 readingsTotal 20 minutes

Hands on: 110 minutes
Hands on: 210 minutes

1 assignmentTotal 30 minutes

Quiz 230 minutes

4 pluginsTotal 60 minutes

EBook: Module 2: Fundamentals of Machine Learning15 minutes
ACTIVITY: Case Study15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

10 videos1 reading1 assignment4 plugins

10 videosTotal 136 minutes

Audiobook: Module 3: AI Product Development Lifecycle51 minutes
Podcast: Module 3: AI Product Development Lifecycle57 minutes
3.1 The Integration of AI into Product Development4 minutes
3.2 Role of AI in Product Development4 minutes
3.3 AI Transforming Product Development4 minutes
3.4 Merits of AI in Product Development3 minutes
3.5 Different Stages of AI Product Development2 minutes
3.6 Use Cases of AI for Product Development in Different Industries3 minutes
3.7 Methods for Prototyping and Testing AI-Driven Products5 minutes
3.8 Best AI Tools for Product Managers4 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz 330 minutes

4 pluginsTotal 60 minutes

EBook: Module 3: AI Product Development Lifecycle15 minutes
ACTIVITY: Sequence Arrangement15 minutes
ACTIVITY: Accordian15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

12 videos1 reading1 assignment4 plugins

12 videosTotal 122 minutes

Audiobook: Module 4: AI Ethics and Bias48 minutes
Podcast 4: AI Ethics and Bias40 minutes
4.1 Bias, Fairness, and Privacy Protection3 minutes
4.2 Transparency, Explainability, and Responsibility3 minutes
4.3 Safety, Reliability, and Social Impact3 minutes
4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous Monitoring4 minutes
4.5 Bias: What It Is, Its Sources, and the Possibility of Eliminating It4 minutes
4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and Products6 minutes
4.7 Key to Fix Bias in AI and Machine Learning Algorithms3 minutes
4.8 Tools to Reduce Bias: AI Fairness 3603 minutes
4.9 Tools to Reduce Bias: IBM Watson Open Scale and Google’s What-If Tool2 minutes
4.10 Examples: What Are Some Real-World Examples of AI Bias?3 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz 430 minutes

4 pluginsTotal 60 minutes

EBook: Module 4: AI Ethics and Bias15 minutes
ACTIVITY: Case Study15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

12 videos2 readings1 assignment4 plugins

12 videosTotal 148 minutes

Audiobook: Module 5: AI Implementation Strategies53 minutes
Podcast: Module 5: AI Implementation Strategies53 minutes
5.1 Steps for AI Integration and Product Enhancement6 minutes
5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI Integration3 minutes
5.3 Implementing AI in Your Product and Selecting Tools & Frameworks6 minutes
5.4 Developing AI Models and Deploying AI Features4 minutes
5.5 Monitoring and Improving AI Performance3 minutes
5.6 Examples of AI Integrations3 minutes
5.7 Methods to Integrate AI into an App3 minutes
5.8 Key Steps and Strategies in Stakeholder Management for Product Teams5 minutes
5.9 Benefits and Role of Stakeholders in Product Management5 minutes
5.10 What Is It That Stakeholders Really Want?4 minutes

2 readingsTotal 20 minutes

Hands on: 110 minutes
Hands on: 210 minutes

1 assignmentTotal 30 minutes

Quiz 530 minutes

4 pluginsTotal 60 minutes

EBook: Module 5: AI Implementation Strategies15 minutes
ACTIVITY: Carousel15 minutes
ACTIVITY: Multiple Choice15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

11 videos2 readings1 assignment4 plugins

11 videosTotal 151 minutes

Audiobook: Module 6: AI Metrics and Performance Evaluation45 minutes
Podcast: Module 6: AI Metrics and Performance Evaluation62 minutes
6.1 KPI: Introduction, Evolution, and Common KPIs for AI in Marketing7 minutes
6.2 AI-Enhanced Tracking of KPIs4 minutes
6.3 Examples of AI Tools for KPI Measurement and Analytics3 minutes
6.4 Case Studies in AI-Driven KPI Measurement6 minutes
6.5 KPI Dashboard Software and Tools6 minutes
6.6 Introduction to Performance Evaluation3 minutes
6.7 Techniques Used for Performance Evaluation: Confusion Matrix5 minutes
6.8 Techniques Used for Performance Evaluation: AUC-ROC Curve6 minutes
6.9 Techniques Used for Performance Evaluation: Gini Coefficient and R-Squared/Adjusted R-Squared4 minutes

2 readingsTotal 20 minutes

Hands on: 110 minutes
Hands on: 210 minutes

1 assignmentTotal 30 minutes

Quiz 630 minutes

4 pluginsTotal 60 minutes

EBook: Module 6: AI Metrics and Performance Evaluation15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Drag and Drop15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

11 videos1 reading1 assignment4 plugins

11 videosTotal 143 minutes

Audiobook: Module 7: AI Regulation and Compliance42 minutes
Podcast: Module 7: AI Regulation and Compliance61 minutes
7.1 Introduction to the Regulatory Landscape: AI Regulations Across Different Countries6 minutes
7.2 Key Global Regulations4 minutes
7.3 Key Regulatory Rules Required for AI4 minutes
7.4 Entities Most Adversely Affected by AI Regulations3 minutes
7.5 Impact on AI Companies3 minutes
7.6 Introduction to AI Regulatory Compliance5 minutes
7.7 Compliance Strategies5 minutes
7.8 Role and Importance of Data Privacy in AI Compliance6 minutes
7.9 The Role of Legal Professionals in Ensuring Compliance with AI Regulations5 minutes

1 readingTotal 10 minutes

Hands on10 minutes

1 assignmentTotal 30 minutes

Quiz 730 minutes

4 pluginsTotal 60 minutes

EBook: Module 7: AI Regulation and Compliance15 minutes
ACTIVITY: Hotspot15 minutes
ACTIVITY: Tab15 minutes
ACTIVITY: Knowledge Check15 minutes

What's included

6 videos2 readings1 assignment4 plugins

6 videosTotal 90 minutes

Audiobook: Module 8: Future Trends in AI and Product Management20 minutes
Podcast: Module 8: Future Trends in AI and Product Management50 minutes
8.1 Key Trends to Watch Out For6 minutes
8.2 Step-by-Step Guide to Strategic Planning5 minutes
8.3 Strategic Plan6 minutes
Course Summary4 minutes

2 readingsTotal 20 minutes

Hands on: 110 minutes
Hands on: 210 minutes

1 assignmentTotal 30 minutes

Quiz 830 minutes

4 pluginsTotal 60 minutes

EBook: Module 8: Future Trends in AI and Product Management15 minutes
ACTIVITY: Carousel15 minutes
ACTIVITY: Scenario Activity15 minutes
ACTIVITY: Knowledge Check15 minutes

Instructor

AI CERTs Team

AI CERTs

56 Courses26,762 learners

Offered by

AI CERTs

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Frequently asked questions

It focuses on using AI to enhance product planning, prioritization, decision-making, and lifecycle management.

No advanced coding is required. A basic understanding of product management concepts is sufficient.

Product managers, project managers, IT professionals, business strategists, and students entering product roles.

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.

Product Management with AI

Product Management with AI

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 8 modules in this course

Module 1: Introduction to AI for Product Managers

What's included

Module 2: Fundamentals of Machine Learning

What's included

Module 3: AI Product Development Lifecycle

What's included

Module 4: AI Ethics and Bias

What's included

Module 5: AI Implementation Strategies

What's included

Module 6: AI Metrics and Performance Evaluation

What's included

Module 7: AI Regulation and Compliance

What's included

Module 8: Future Trends in AI and Product Management

What's included

Instructor

Offered by

Explore more from Leadership and Management

Product Management: Building AI-Powered Products

AI for Product Owners

AI Product Management: The Complete Handbook

IBM AI Product Manager

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What is AI for Product Management?

Do I need prior AI or coding experience?

Who should take this course?

More questions