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

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.

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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 videos Total 129 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

4 plugins Total 60 minutes

EBook: Module 1: Introduction to AI for Product Managers 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

8 videos2 readings1 assignment4 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

2 readings Total 20 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes

1 assignment Total 30 minutes

Quiz 2 30 minutes

4 plugins Total 60 minutes

EBook: Module 2: Fundamentals of Machine Learning 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

10 videos1 reading1 assignment4 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

4 plugins Total 60 minutes

EBook: Module 3: AI Product Development Lifecycle 15 minutes
ACTIVITY: Sequence Arrangement 15 minutes
ACTIVITY: Accordian 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

12 videos1 reading1 assignment4 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

4 plugins Total 60 minutes

EBook: Module 4: AI Ethics and Bias 15 minutes
ACTIVITY: Case Study 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

12 videos2 readings1 assignment4 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

2 readings Total 20 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes

1 assignment Total 30 minutes

Quiz 5 30 minutes

4 plugins Total 60 minutes

EBook: Module 5: AI Implementation Strategies 15 minutes
ACTIVITY: Carousel 15 minutes
ACTIVITY: Multiple Choice 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos2 readings1 assignment4 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

2 readings Total 20 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes

1 assignment Total 30 minutes

Quiz 6 30 minutes

4 plugins Total 60 minutes

EBook: Module 6: AI Metrics and Performance Evaluation 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Drag and Drop 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

11 videos1 reading1 assignment4 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

4 plugins Total 60 minutes

EBook: Module 7: AI Regulation and Compliance 15 minutes
ACTIVITY: Hotspot 15 minutes
ACTIVITY: Tab 15 minutes
ACTIVITY: Knowledge Check 15 minutes

What's included

6 videos2 readings1 assignment4 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

2 readings Total 20 minutes

Hands on: 1 10 minutes
Hands on: 2 10 minutes

1 assignment Total 30 minutes

Quiz 8 30 minutes

4 plugins Total 60 minutes

EBook: Module 8: Future Trends in AI and Product Management 15 minutes
ACTIVITY: Carousel 15 minutes
ACTIVITY: Scenario Activity 15 minutes
ACTIVITY: Knowledge Check 15 minutes

Instructor

AI CERTs Team

AI CERTs

49 Courses 14,663 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.