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 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.
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11个视频1篇阅读材料1个作业4个插件
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11个视频•总计131分钟
Navigation Video•2分钟
Audiobook: Course Introduction•6分钟
Course Introduction•4分钟
Audiobook: Module 1: Introduction to AI for Product Managers•47分钟
Podcast: Module 1: Introduction to AI for Product Managers•41分钟
1.1 What is AI?•3分钟
1.2 Branches of Artificial Intelligence•6分钟
1.3 Deep Dive into AI Applications for Product Management•6分钟
1.4 The Role of an AI Product Manager•4分钟
1.5 Introduction to the Importance of AI in Product Development•4分钟
1.6 Challenges of AI in Product Development•6分钟
1篇阅读材料•总计10分钟
Hands on•10分钟
1个作业•总计30分钟
Quiz 1•30分钟
4个插件•总计60分钟
EBook: Module 1: Introduction to AI for Product Managers•15分钟
ACTIVITY: Drag and Drop•15分钟
ACTIVITY: Tab•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 2: Fundamentals of Machine Learning
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8个视频2篇阅读材料1个作业4个插件
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8个视频•总计106分钟
Audiobook: Module 2: Fundamentals of Machine Learning•38分钟
Podcast: Module 2: Fundamentals of Machine Learning•44分钟
2.1 Introduction to Machine Learning•4分钟
2.2 How Machine Learning Works•3分钟
2.3 Types of Machine Learning•5分钟
2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine Learning•5分钟
2.5 Why We Need Data Preprocessing•4分钟
2.6 Data Preprocessing Steps in Machine Learning•5分钟
2篇阅读材料•总计20分钟
Hands on: 1•10分钟
Hands on: 2•10分钟
1个作业•总计30分钟
Quiz 2•30分钟
4个插件•总计60分钟
EBook: Module 2: Fundamentals of Machine Learning•15分钟
ACTIVITY: Case Study•15分钟
ACTIVITY: Tab•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 3: AI Product Development Lifecycle
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10个视频1篇阅读材料1个作业4个插件
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10个视频•总计136分钟
Audiobook: Module 3: AI Product Development Lifecycle•51分钟
Podcast: Module 3: AI Product Development Lifecycle•57分钟
3.1 The Integration of AI into Product Development•4分钟
3.2 Role of AI in Product Development•4分钟
3.3 AI Transforming Product Development•4分钟
3.4 Merits of AI in Product Development•3分钟
3.5 Different Stages of AI Product Development•2分钟
3.6 Use Cases of AI for Product Development in Different Industries•3分钟
3.7 Methods for Prototyping and Testing AI-Driven Products•5分钟
3.8 Best AI Tools for Product Managers•4分钟
1篇阅读材料•总计10分钟
Hands on•10分钟
1个作业•总计30分钟
Quiz 3•30分钟
4个插件•总计60分钟
EBook: Module 3: AI Product Development Lifecycle•15分钟
ACTIVITY: Sequence Arrangement•15分钟
ACTIVITY: Accordian•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 4: AI Ethics and Bias
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12个视频1篇阅读材料1个作业4个插件
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12个视频•总计122分钟
Audiobook: Module 4: AI Ethics and Bias•48分钟
Podcast 4: AI Ethics and Bias•40分钟
4.1 Bias, Fairness, and Privacy Protection•3分钟
4.2 Transparency, Explainability, and Responsibility•3分钟
4.3 Safety, Reliability, and Social Impact•3分钟
4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous Monitoring•4分钟
4.5 Bias: What It Is, Its Sources, and the Possibility of Eliminating It•4分钟
4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and Products•6分钟
4.7 Key to Fix Bias in AI and Machine Learning Algorithms•3分钟
4.8 Tools to Reduce Bias: AI Fairness 360•3分钟
4.9 Tools to Reduce Bias: IBM Watson Open Scale and Google’s What-If Tool•2分钟
4.10 Examples: What Are Some Real-World Examples of AI Bias?•3分钟
1篇阅读材料•总计10分钟
Hands on•10分钟
1个作业•总计30分钟
Quiz 4•30分钟
4个插件•总计60分钟
EBook: Module 4: AI Ethics and Bias•15分钟
ACTIVITY: Case Study•15分钟
ACTIVITY: Tab•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 5: AI Implementation Strategies
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12个视频2篇阅读材料1个作业4个插件
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12个视频•总计148分钟
Audiobook: Module 5: AI Implementation Strategies•53分钟
Podcast: Module 5: AI Implementation Strategies•53分钟
5.1 Steps for AI Integration and Product Enhancement•6分钟
5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI Integration•3分钟
5.3 Implementing AI in Your Product and Selecting Tools & Frameworks•6分钟
5.4 Developing AI Models and Deploying AI Features•4分钟
5.5 Monitoring and Improving AI Performance•3分钟
5.6 Examples of AI Integrations•3分钟
5.7 Methods to Integrate AI into an App•3分钟
5.8 Key Steps and Strategies in Stakeholder Management for Product Teams•5分钟
5.9 Benefits and Role of Stakeholders in Product Management•5分钟
5.10 What Is It That Stakeholders Really Want?•4分钟
2篇阅读材料•总计20分钟
Hands on: 1•10分钟
Hands on: 2•10分钟
1个作业•总计30分钟
Quiz 5•30分钟
4个插件•总计60分钟
EBook: Module 5: AI Implementation Strategies•15分钟
ACTIVITY: Carousel•15分钟
ACTIVITY: Multiple Choice•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 6: AI Metrics and Performance Evaluation
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11个视频2篇阅读材料1个作业4个插件
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11个视频•总计151分钟
Audiobook: Module 6: AI Metrics and Performance Evaluation•45分钟
Podcast: Module 6: AI Metrics and Performance Evaluation•62分钟
6.1 KPI: Introduction, Evolution, and Common KPIs for AI in Marketing•7分钟
6.2 AI-Enhanced Tracking of KPIs•4分钟
6.3 Examples of AI Tools for KPI Measurement and Analytics•3分钟
6.4 Case Studies in AI-Driven KPI Measurement•6分钟
6.5 KPI Dashboard Software and Tools•6分钟
6.6 Introduction to Performance Evaluation•3分钟
6.7 Techniques Used for Performance Evaluation: Confusion Matrix•5分钟
6.8 Techniques Used for Performance Evaluation: AUC-ROC Curve•6分钟
6.9 Techniques Used for Performance Evaluation: Gini Coefficient and R-Squared/Adjusted R-Squared•4分钟
2篇阅读材料•总计20分钟
Hands on: 1•10分钟
Hands on: 2•10分钟
1个作业•总计30分钟
Quiz 6•30分钟
4个插件•总计60分钟
EBook: Module 6: AI Metrics and Performance Evaluation•15分钟
ACTIVITY: Tab•15分钟
ACTIVITY: Drag and Drop•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 7: AI Regulation and Compliance
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11个视频1篇阅读材料1个作业4个插件
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11个视频•总计143分钟
Audiobook: Module 7: AI Regulation and Compliance•42分钟
Podcast: Module 7: AI Regulation and Compliance•61分钟
7.1 Introduction to the Regulatory Landscape: AI Regulations Across Different Countries•6分钟
7.2 Key Global Regulations•4分钟
7.3 Key Regulatory Rules Required for AI•4分钟
7.4 Entities Most Adversely Affected by AI Regulations•3分钟
7.5 Impact on AI Companies•3分钟
7.6 Introduction to AI Regulatory Compliance•5分钟
7.7 Compliance Strategies•5分钟
7.8 Role and Importance of Data Privacy in AI Compliance•6分钟
7.9 The Role of Legal Professionals in Ensuring Compliance with AI Regulations•5分钟
1篇阅读材料•总计10分钟
Hands on•10分钟
1个作业•总计30分钟
Quiz 7•30分钟
4个插件•总计60分钟
EBook: Module 7: AI Regulation and Compliance•15分钟
ACTIVITY: Hotspot•15分钟
ACTIVITY: Tab•15分钟
ACTIVITY: Knowledge Check•15分钟
Module 8: Future Trends in AI and Product Management
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6个视频2篇阅读材料1个作业4个插件
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6个视频•总计90分钟
Audiobook: Module 8: Future Trends in AI and Product Management•20分钟
Podcast: Module 8: Future Trends in AI and Product Management•50分钟
8.1 Key Trends to Watch Out For•6分钟
8.2 Step-by-Step Guide to Strategic Planning•5分钟
8.3 Strategic Plan•6分钟
Course Summary•4分钟
2篇阅读材料•总计20分钟
Hands on: 1•10分钟
Hands on: 2•10分钟
1个作业•总计30分钟
Quiz 8•30分钟
4个插件•总计60分钟
EBook: Module 8: Future Trends in AI and Product Management•15分钟
It focuses on using AI to enhance product planning, prioritization, decision-making, and lifecycle management.
Do I need prior AI or coding experience?
No advanced coding is required. A basic understanding of product management concepts is sufficient.
Who should take this course?
Product managers, project managers, IT professionals, business strategists, and students entering product roles.
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.
When will I have access to the lectures and assignments?
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.
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.