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

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Product Management with AI

Instructeur : AI CERTs Team

Inclus avec

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

8 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : AI Product Strategy
Catégorie : Agile Product Development
Catégorie : AI Enablement
Catégorie : Data Ethics
Catégorie : Forecasting
Catégorie : Product Improvement
Catégorie : Product Marketing
Catégorie : Product Knowledge
Catégorie : Risk Analysis
Catégorie : Product Roadmaps
Catégorie : Performance Metric
Catégorie : Responsible AI
Catégorie : Product Management
Catégorie : Generative AI Agents
Catégorie : Product Strategy
Catégorie : Cross-Functional Collaboration
Catégorie : Product Planning
Catégorie : AI Personalization
Catégorie : New Product Development

Outils que vous découvrirez

Catégorie : Collaborative Software

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Récemment mis à jour !

février 2026

Évaluations

8 devoirs

Enseigné en Anglais

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Il y a 8 modules dans ce cours

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.

Inclus

10 vidéos1 lecture1 devoir4 plugins

10 vidéos 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 lecture Total 10 minutes

Hands on 10 minutes

1 devoir 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

Inclus

8 vidéos2 lectures1 devoir4 plugins

8 vidéos 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 lectures Total 20 minutes

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

1 devoir 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

Inclus

10 vidéos1 lecture1 devoir4 plugins

10 vidéos 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 lecture Total 10 minutes

Hands on 10 minutes

1 devoir 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

Inclus

12 vidéos1 lecture1 devoir4 plugins

12 vidéos 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 lecture Total 10 minutes

Hands on 10 minutes

1 devoir 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

Inclus

12 vidéos2 lectures1 devoir4 plugins

12 vidéos 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 lectures Total 20 minutes

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

1 devoir 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

Inclus

11 vidéos2 lectures1 devoir4 plugins

11 vidéos 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 lectures Total 20 minutes

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

1 devoir 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

Inclus

11 vidéos1 lecture1 devoir4 plugins

11 vidéos 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 lecture Total 10 minutes

Hands on 10 minutes

1 devoir 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

Inclus

6 vidéos2 lectures1 devoir4 plugins

6 vidéos 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 lectures Total 20 minutes

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

1 devoir 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

Instructeur

AI CERTs Team

AI CERTs

54 Cours 23 614 apprenants

Offert par

AI CERTs

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Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

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Foire Aux 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.

Plus de questions

Visitez le Centre d'Aide pour les Étudiants

Aide financière disponible,

Product Management with AI

Ce cours n'est pas disponible en Français (France)

Product Management with AI

Ce que vous apprendrez

Compétences que vous acquerrez

Outils que vous découvrirez

Détails à connaître

Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées

Il y a 8 modules dans ce cours

Module 1: Introduction to AI for Product Managers

Inclus

Module 2: Fundamentals of Machine Learning

Inclus

Module 3: AI Product Development Lifecycle

Inclus

Module 4: AI Ethics and Bias

Inclus

Module 5: AI Implementation Strategies

Inclus

Module 6: AI Metrics and Performance Evaluation

Inclus

Module 7: AI Regulation and Compliance

Inclus

Module 8: Future Trends in AI and Product Management

Inclus

Instructeur

Offert par

En savoir plus sur Leadership and Management

Product Management: Building AI-Powered Products

AI for Product Owners

AI Product Management: The Complete Handbook

IBM AI Product Manager

Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Ouvrez de nouvelles portes avec Coursera Plus

Faites progresser votre carrière avec un diplôme en ligne

Rejoignez plus de 3 400 entreprises mondiales qui ont choisi Coursera pour les affaires

Foire Aux Questions

What is AI for Product Management?

Do I need prior AI or coding experience?

Who should take this course?

Plus de questions