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

通过 Coursera Plus 提高技能，仅需 239 美元/年（原价 399 美元）。立即节省

Product Management with AI

位教师：AI CERTs Team

包含在中

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8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

8个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

您将学习的工具

Collaborative Software

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有8个模块

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.

涵盖的内容

10个视频1篇阅读材料1个作业4个插件

10个视频总计129分钟

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

1篇阅读材料总计10分钟

Hands on10分钟

1个作业总计30分钟

Quiz 130分钟

4个插件总计60分钟

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

涵盖的内容

8个视频2篇阅读材料1个作业4个插件

8个视频总计106分钟

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

2篇阅读材料总计20分钟

Hands on: 110分钟
Hands on: 210分钟

1个作业总计30分钟

Quiz 230分钟

4个插件总计60分钟

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

涵盖的内容

10个视频1篇阅读材料1个作业4个插件

10个视频总计136分钟

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

1篇阅读材料总计10分钟

Hands on10分钟

1个作业总计30分钟

Quiz 330分钟

4个插件总计60分钟

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

涵盖的内容

12个视频1篇阅读材料1个作业4个插件

12个视频总计122分钟

Audiobook: Module 4: AI Ethics and Bias48分钟
Podcast 4: AI Ethics and Bias40分钟
4.1 Bias, Fairness, and Privacy Protection3分钟
4.2 Transparency, Explainability, and Responsibility3分钟
4.3 Safety, Reliability, and Social Impact3分钟
4.4 Regulatory Compliance, Ethical Decision-Making, and Continuous Monitoring4分钟
4.5 Bias: What It Is, Its Sources, and the Possibility of Eliminating It4分钟
4.6 Strategies for Identifying and Addressing Bias in AI Algorithms and Products6分钟
4.7 Key to Fix Bias in AI and Machine Learning Algorithms3分钟
4.8 Tools to Reduce Bias: AI Fairness 3603分钟
4.9 Tools to Reduce Bias: IBM Watson Open Scale and Google’s What-If Tool2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 on10分钟

1个作业总计30分钟

Quiz 430分钟

4个插件总计60分钟

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

涵盖的内容

12个视频2篇阅读材料1个作业4个插件

12个视频总计148分钟

Audiobook: Module 5: AI Implementation Strategies53分钟
Podcast: Module 5: AI Implementation Strategies53分钟
5.1 Steps for AI Integration and Product Enhancement6分钟
5.2 Identifying Suitable AI Technologies and Preparing Your Data for AI Integration3分钟
5.3 Implementing AI in Your Product and Selecting Tools & Frameworks6分钟
5.4 Developing AI Models and Deploying AI Features4分钟
5.5 Monitoring and Improving AI Performance3分钟
5.6 Examples of AI Integrations3分钟
5.7 Methods to Integrate AI into an App3分钟
5.8 Key Steps and Strategies in Stakeholder Management for Product Teams5分钟
5.9 Benefits and Role of Stakeholders in Product Management5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: 110分钟
Hands on: 210分钟

1个作业总计30分钟

Quiz 530分钟

4个插件总计60分钟

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

涵盖的内容

11个视频2篇阅读材料1个作业4个插件

11个视频总计151分钟

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

2篇阅读材料总计20分钟

Hands on: 110分钟
Hands on: 210分钟

1个作业总计30分钟

Quiz 630分钟

4个插件总计60分钟

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

涵盖的内容

11个视频1篇阅读材料1个作业4个插件

11个视频总计143分钟

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

1篇阅读材料总计10分钟

Hands on10分钟

1个作业总计30分钟

Quiz 730分钟

4个插件总计60分钟

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

涵盖的内容

6个视频2篇阅读材料1个作业4个插件

6个视频总计90分钟

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

2篇阅读材料总计20分钟

Hands on: 110分钟
Hands on: 210分钟

1个作业总计30分钟

Quiz 830分钟

4个插件总计60分钟

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

位教师

AI CERTs Team

AI CERTs

57 门课程27,625 名学生

提供方

AI CERTs

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常见问题

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

您将学到什么

您将获得的技能

您将学习的工具

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

该课程共有8个模块

Module 1: Introduction to AI for Product Managers

涵盖的内容

Module 2: Fundamentals of Machine Learning

涵盖的内容

Module 3: AI Product Development Lifecycle

涵盖的内容

Module 4: AI Ethics and Bias

涵盖的内容

Module 5: AI Implementation Strategies

涵盖的内容

Module 6: AI Metrics and Performance Evaluation

涵盖的内容

Module 7: AI Regulation and Compliance

涵盖的内容

Module 8: Future Trends in AI and Product Management

涵盖的内容

位教师

提供方

从 Leadership and Management 浏览更多内容

Product Management: Building AI-Powered Products

AI for Product Owners

AI Product Management: The Complete Handbook

IBM AI Product Manager

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

通过 Coursera Plus 开启新生涯

通过在线学位推动您的职业生涯

加入超过 3400 家选择 Coursera for Business 的全球公司

常见问题

What is AI for Product Management?

Do I need prior AI or coding experience?

Who should take this course?

更多问题