How does AI support product management?

AI helps improve research speed, feature prioritization, planning accuracy, and customer insight generation.

Is this course suitable for non-technical learners?

Yes. The course is designed for both technical and non-technical business professionals.

Will I learn about AI product analytics tools?

Yes. The course explores AI-assisted analytics and modern product management technologies.

Can AI improve product strategy and roadmap planning?

Yes. AI-supported approaches can help strengthen planning efficiency, product insights, and strategic alignment.

What industries benefit from AI product management applications?

Technology companies, startups, enterprises, consulting firms, and digital businesses benefit from AI-powered product workflows.

Is coding required for this course?

No coding is required. The course focuses on practical AI applications for product management environments.

How will this course help my career?

The course helps build practical AI product management and analytical skills relevant to modern business environments.

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

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Product Management with AI

Dozent: AI CERTs Team

Bei Mehr erfahren enthalten

9 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

9 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Understand AI Applications in Product Management: Explore how AI supports product planning, customer analysis, and roadmap development.
Evaluate AI Product Analytics Tools: Assess AI tools that improve user research, product insights, and faster analysis workflows.
Strengthen Product Research and Planning: Apply AI-supported approaches to improve roadmap prioritization and product decision accuracy.
Implement AI-Driven Product Strategies: Identify AI opportunities that strengthen customer insights and strategic business outcomes.

Kompetenzen, die Sie erwerben

Kategorie: Key Performance Indicators (KPIs)
Kategorie: Model Evaluation
Kategorie: Regulation and Legal Compliance
Kategorie: Performance Measurement
Kategorie: Emerging Technologies
Kategorie: Ethical Standards And Conduct
Kategorie: User Research
Kategorie: AI Integrations
Kategorie: Performance Metric
Kategorie: Artificial Intelligence
Kategorie: Customer Insights
Kategorie: Product Development
Kategorie: UI/UX Research

Werkzeuge, die Sie lernen werden

Kategorie: AI Workflows

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Bewertungen

8 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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In diesem Kurs gibt es 9 Module

Artificial intelligence is changing how product teams plan roadmaps, evaluate customer needs, and improve product decisions across business environments. Organizations are increasingly using AI-powered tools to accelerate research, improve analysis, and strengthen product planning workflows.

This Product Management with AI course is designed for product managers, founders, business professionals, and learners seeking practical knowledge of AI in product environments. Learners will explore how AI technologies support user research, product analytics, roadmap planning, and customer insight generation without requiring advanced technical expertise. The course focuses on implementation-oriented product management applications and modern business workflows. You’ll examine how AI tools support feature prioritization, market evaluation, product optimization, and strategic analysis. Through practical scenarios, learners will explore how AI supports product discovery, analytics interpretation, workflow efficiency, and faster research processes. You’ll also learn how professionals evaluate AI opportunities, improve planning accuracy, and support responsible AI use across product environments. In addition, the course introduces foundational concepts around AI governance, ethical AI adoption, and implementation approaches used within modern product teams. By the end of the course, you’ll be able to identify AI opportunities in product management, improve roadmap prioritization, accelerate product research workflows, strengthen customer insight generation, and apply AI-supported approaches to improve strategic decision-making. Enroll in this AI product management course to build practical product strategy skills and support modern product operations with greater confidence.

This module introduces the fundamentals of Artificial Intelligence and its impact on modern product management. Learners explore key AI concepts, applications, and opportunities for integrating AI into product strategies. The module helps product managers understand how AI can support innovation and business value creation.

Das ist alles enthalten

7 Videos1 Aufgabe1 Plug-in

7 VideosInsgesamt 34 Minuten

Course Introduction4 Minuten
1.1 What is AI?3 Minuten
1.2 Branches of Artificial Intelligence6 Minuten
1.3 Deep Dive into AI Applications for Product Management6 Minuten
1.4 The Role of an AI Product Manager4 Minuten
1.5 Introduction to the Importance of AI in Product Development4 Minuten
1.6 Challenges of AI in Product Development6 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 130 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Tab5 Minuten

This module explains the core concepts and principles of Machine Learning used in AI-powered products. Learners explore different learning approaches, data requirements, and model development processes. The module builds foundational knowledge to help product managers collaborate effectively with AI teams.

Das ist alles enthalten

7 Videos1 Aufgabe1 Plug-in

7 VideosInsgesamt 29 Minuten

2.1 Introduction to Machine Learning4 Minuten
2.2 How Machine Learning Works3 Minuten
2.3 Types of Machine Learning5 Minuten
2.4 Comparison of Supervised, Unsupervised, and Reinforcement Machine Learning5 Minuten
2.5 Why We Need Data Preprocessing4 Minuten
2.6 Data Preprocessing Steps in Machine Learning5 Minuten
2.7 Consequences of Ignoring Data Preprocessing4 Minuten

1 AufgabeInsgesamt 30 Minuten

Quiz 230 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Case Study5 Minuten

This module covers the complete lifecycle of developing AI-driven products, from ideation to deployment. Learners understand data preparation, model development, testing, and continuous improvement processes. The module enables product managers to effectively plan and manage AI product initiatives.

Das ist alles enthalten

8 Videos1 Aufgabe1 Plug-in

8 VideosInsgesamt 28 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 330 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Sequence5 Minuten

This module explores ethical considerations involved in designing and deploying AI products. Learners understand AI bias, fairness, transparency, privacy, and responsible AI practices. The module helps product managers create trustworthy AI solutions that align with user and organizational values.

Das ist alles enthalten

10 Videos1 Aufgabe1 Plug-in

10 VideosInsgesamt 33 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 430 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Problem Statement5 Minuten

This module focuses on strategies for successfully implementing AI solutions within products and organizations. Learners explore AI adoption approaches, integration methods, and common implementation challenges. The module helps product managers plan effective AI initiatives that deliver measurable outcomes.

Das ist alles enthalten

10 Videos1 Aufgabe1 Plug-in

10 VideosInsgesamt 42 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 530 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Carousel5 Minuten

This module explains how to measure and evaluate the performance of AI-powered products. Learners explore key metrics, evaluation methods, and approaches for monitoring AI system effectiveness. The module enables product managers to make data-driven decisions and improve AI product performance.

Das ist alles enthalten

9 Videos1 Aufgabe1 Plug-in

9 VideosInsgesamt 44 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 630 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Drag and Drop5 Minuten

This module introduces the regulatory and compliance requirements associated with AI development and deployment. Learners explore topics such as data protection, AI standards, risk management, and compliance practices. The module helps product managers understand the importance of building compliant AI products.

Das ist alles enthalten

9 Videos1 Aufgabe1 Plug-in

9 VideosInsgesamt 40 Minuten

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

1 AufgabeInsgesamt 30 Minuten

Quiz 730 Minuten

1 Plug-inInsgesamt 5 Minuten

Activity: Hotspot5 Minuten

This module explores emerging AI trends and their influence on the future of product management. Learners discover advancements in AI technologies, evolving product strategies, and new opportunities for AI-driven innovation. The module prepares product managers to adapt to future AI developments and market changes.

Das ist alles enthalten

3 Videos1 Aufgabe1 Plug-in

Das ist alles enthalten

5 Videos

Dozent

AI CERTs Team

AI CERTs

62 Kurse64.661 Lernende

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AI CERTs

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Häufig gestellte Fragen

This course is designed for product managers, founders, analysts, and professionals exploring AI in modern product environments.

No. The course is beginner-friendly and focuses on practical AI applications for product workflows.

You’ll learn how AI supports product analytics, roadmap planning, customer research, and strategic product decisions.

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.