Building AI-Powered Products: A Guide for Product Managers

Zum Labor Day gibt es bei Coursera Plus Rabatte von über 70 $. Sparen Sie 3 Monate lang 40 %.

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Building AI-Powered Products: A Guide for Product Managers

Dozenten: Starweaver

Bei Mehr erfahren enthalten

2 Module

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

Stufe Mittel

Empfohlene Erfahrung

5 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

2 Module

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

Stufe Mittel

Empfohlene Erfahrung

5 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Differentiate AI product opportunities from traditional software features and identify where AI creates measurable user and business value.
Evaluate data readiness, feasibility constraints, and solution patterns to scope viable AI features for real product use cases.
Define practical success metrics, trust signals, and evaluation criteria for launching AI features with confidence.
Apply human oversight, governance-aware practices, and risk controls to design trustworthy AI product experiences.

Kompetenzen, die Sie erwerben

Kategorie: Governance Risk Management and Compliance
Kategorie: AI Product Strategy
Kategorie: Data Ethics
Kategorie: Responsible AI
Kategorie: Product Requirements
Kategorie: Product Roadmaps
Kategorie: Product Automation
Kategorie: User Experience Design
Kategorie: Feasibility Studies
Kategorie: AI literacy
Kategorie: Model Evaluation
Kategorie: Governance
Kategorie: Product Management
Kategorie: Artificial Intelligence
Kategorie: Decision Intelligence
Kategorie: UI/UX Research
Kategorie: Project Scoping
Kategorie: Product Development

Werkzeuge, die Sie lernen werden

Kategorie: Risking
Kategorie: Prompt Engineering

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

September 2026

Bewertungen

2 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

In diesem Kurs gibt es 2 Module

Learn AI-Powered Products for Product Managers and master how to scope, build, and launch successful AI features with confidence. This intermediate course teaches you to identify AI-worthy opportunities, assess data readiness, and choose the right solution pattern—prompt-only, RAG, fine-tuning, or agents. Ideal for experienced PMs, technical PMs moving into AI/ML, and founders building AI-first products, it replaces AI hype with practical frameworks, hands-on labs, role-play activities, and a capstone project resulting in a complete AI Product Brief.

Gain in-demand skills in AI feature scoping, metrics interpretation, trustworthy AI UX, and governance readiness. You'll learn to translate precision, recall, and F1 scores into product decisions, define launch-readiness criteria, and design for trust through transparency and human oversight—while covering compliance essentials like the EU AI Act and NIST AI RMF. Taught by Karlis Zars, this course delivers reusable PRD templates, opportunity assessment tools, and launch scorecards to help you ship AI features that create real business and user value.

This module helps learners shift from traditional product thinking to AI product thinking. It introduces how AI-powered products differ from conventional software, how to identify strong AI opportunities, and how to validate whether a problem is actually worth solving with AI. Learners then move into scoping AI features, assessing data readiness, defining inputs and outputs, and choosing the right solution pattern such as prompt-only, retrieval-augmented generation, fine-tuning, or agents.

Das ist alles enthalten

11 Videos3 Lektüren1 Aufgabe1 peer review2 Diskussionsthemen

11 VideosInsgesamt 79 Minuten

Welcome and Course Goals 4 Minuten
Module Introduction 3 Minuten
How AI Products Differ from Traditional Software 7 Minuten
AI Capability Types and Product Use Cases 7 Minuten
AI Product Maturity: Rule-Based to AI-Native 7 Minuten
Framing AI Features as User Problems, Not Technology Demos 7 Minuten
Data Readiness for PMs: Availability, Quality, and Labeling 8 Minuten
Common Pitfalls in AI Product Discovery 7 Minuten
Writing AI Feature Requirements and Defining Performance Boundaries 8 Minuten
Choosing Between Prompt-Only, RAG, Fine-Tuning, and Agents 11 Minuten
Minimum Viable Model Thinking for AI MVPs 8 Minuten

3 LektürenInsgesamt 15 Minuten

Welcome to the Course: Course Overview5 Minuten
AI Readiness and Strategy for Product Leaders 5 Minuten
Fine-Tuning vs RAG vs Agents: A Practical Comparison 5 Minuten

1 AufgabeInsgesamt 20 Minuten

AI Product Thinking, Scoping, and Solution Design20 Minuten

1 peer reviewInsgesamt 10 Minuten

Hands-On-Learning: Evaluate and Scope an AI Feature Opportunity10 Minuten

2 DiskussionsthemenInsgesamt 20 Minuten

Pressure-Testing an AI Opportunity in Your Own Work10 Minuten
Where AI Requirements Are Hardest to Write in Your Context10 Minuten

This module focuses on what happens once an AI feature moves toward launch. Learners explore how to measure AI performance in product terms, interpret ML metrics such as precision, recall, accuracy, and F1, and define practical thresholds for when a model is good enough to ship. The module then shifts into trust and risk, including UX for non-deterministic outputs, transparency design, human-in-the-loop patterns, bias, fairness, privacy, and governance. Finally, learners examine how to launch, monitor, and scale AI products through phased rollouts, shadow testing, post-launch monitoring, cost awareness, and roadmap planning.

Das ist alles enthalten

11 Videos2 Lektüren1 Aufgabe2 peer reviews2 Diskussionsthemen

11 VideosInsgesamt 78 Minuten

Module Introduction 3 Minuten
Precision, Recall, Accuracy, and F1 for Product Managers 8 Minuten
Defining AI Success Metrics That Bridge Model and Product Outcomes 8 Minuten
When Is the Model Good Enough to Ship? 7 Minuten
UX for Non-Deterministic and Probabilistic AI Outputs 8 Minuten
Designing Transparency, Confidence, and Human Oversight 8 Minuten
Feedback Loops That Improve AI Products Over Time 8 Minuten
Bias, Privacy, and Regulatory Risk in AI Products 9 Minuten
Launch Strategies, Monitoring, and Post-Launch AI Operations 9 Minuten
Roadmapping AI Products: Model Iteration, Features, and Cost Trade-Offs 8 Minuten
Course Wrap-Up3 Minuten

2 LektürenInsgesamt 10 Minuten

Designing AI Interfaces for Trust and Transparency 5 Minuten
Artificial Intelligence Risk Management Framework 5 Minuten

1 AufgabeInsgesamt 20 Minuten

Measuring, Designing Trust, and Shipping AI Products Responsibly20 Minuten

2 peer reviewsInsgesamt 40 Minuten

Hands-On-Learning: Build an AI Launch-Readiness Scorecard10 Minuten
Project: Create an AI Product Brief for a Trustworthy AI Feature30 Minuten

2 DiskussionsthemenInsgesamt 20 Minuten

Spotting Trust Design in an AI Product You Already Use10 Minuten
The Hardest Part of a Phased AI Launch in Your Organization10 Minuten

Dozenten

Starweaver

STARWEAVER

609 Kurse1.252.516 Lernende

von

STARWEAVER

Mehr von Leadership and Management entdecken

AI CERTs
Product Management with AI
Kurs
Kategorie: Vorschau
Packt
AI Product Manager Skills for Agile - AI Product Management
Kurs
SkillUp
Product Management: Building AI-Powered Products
Kurs
Status: Kostenloser Testzeitraum
Packt
AI Product Management: The Complete Handbook
Kurs

Warum entscheiden sich Menschen für Coursera für ihre Karriere?

Felipe M.

Lernender seit 2018

„Es ist eine großartige Erfahrung, in meinem eigenen Tempo zu lernen. Ich kann lernen, wenn ich Zeit und Nerven dazu habe.“

Jennifer J.

Lernender seit 2020

„Bei einem spannenden neuen Projekt konnte ich die neuen Kenntnisse und Kompetenzen aus den Kursen direkt bei der Arbeit anwenden.“

Larry W.

Lernender seit 2021

„Wenn mir Kurse zu Themen fehlen, die meine Universität nicht anbietet, ist Coursera mit die beste Alternative.“

Chaitanya A.

„Man lernt nicht nur, um bei der Arbeit besser zu werden. Es geht noch um viel mehr. Bei Coursera kann ich ohne Grenzen lernen.“

Nutzen Sie mit unserem Labor-Day-Angebot mehr als 10.000 Programme
Coursera Plus abonnieren
Beginnen Sie mit einfachen Einsparungsmöglichkeiten für hart arbeitende Teams
Sparen Sie heute 30 %

Häufig gestellte Fragen

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.

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.

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.