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Building AI-Powered Products: A Guide for Product Managers · LearnSpace
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Building AI-Powered Products: A Guide for Product Managers

Курс от STARWEAVER
Средний≈ 6.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

Responsible AIUser Experience DesignModel EvaluationAI Product StrategyProduct ManagementGovernance Risk Management and ComplianceProduct RequirementsProduct RoadmapsUI/UX ResearchData EthicsFeasibility StudiesArtificial IntelligenceProduct AutomationRiskingProject ScopingPrompt EngineeringDecision IntelligenceProduct DevelopmentAI literacyGovernance

Программа курса

2 модулей · 40 учебных материалов

01AI Product Thinking, Scoping, and Solution Design20 материалов

Lesson 1: From Traditional Software to AI-Powered Products

Assessing an AI Proposal Before ApprovalDIALOGUEWelcome and Course Goals ВидеоWelcome to the Course: Course OverviewЧтениеModule Introduction Видео

Учитесь у экспертов

Starweaver

Global Leaders in Professional & Technology Education

Karlis Zars

Computer Science Ph.D., Trainer and Consultant

Building AI-Powered Products: A Guide for Product Managers
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Обучение на Coursera

≈ 6.2 ч

2 модулей

Язык: Английский

Часть программы вашего университета
How AI Products Differ from Traditional Software Видео
AI Capability Types and Product Use Cases Видео
AI Product Maturity: Rule-Based to AI-Native Видео

Lesson 2: Finding the Right AI Opportunity

Framing AI Features as User Problems, Not Technology Demos ВидеоData Readiness for PMs: Availability, Quality, and Labeling ВидеоCommon Pitfalls in AI Product Discovery ВидеоPressure-Testing an AI Opportunity in Your Own WorkОбсуждение

Lesson 3: Scoping AI Features and Choosing the Right Solution

Writing AI Feature Requirements and Defining Performance Boundaries ВидеоChoosing Between Prompt-Only, RAG, Fine-Tuning, and Agents ВидеоMinimum Viable Model Thinking for AI MVPs ВидеоAI Readiness and Strategy for Product Leaders ЧтениеFine-Tuning vs RAG vs Agents: A Practical Comparison ЧтениеWhere AI Requirements Are Hardest to Write in Your ContextОбсуждениеHands-On-Learning: Evaluate and Scope an AI Feature OpportunityВзаимная проверкаDefending an AI Feature Proposal to StakeholdersDIALOGUEAI Product Thinking, Scoping, and Solution DesignЗадание
02Measuring, Designing Trust, and Shipping AI Products Responsibly20 материалов

Lesson 1: Measuring AI Performance in Product Terms

Making the Go/No-Go Launch DecisionDIALOGUEModule Introduction ВидеоPrecision, Recall, Accuracy, and F1 for Product Managers ВидеоDefining AI Success Metrics That Bridge Model and Product Outcomes ВидеоWhen Is the Model Good Enough to Ship? Видео

Lesson 2: Designing Trustworthy AI Experiences

UX for Non-Deterministic and Probabilistic AI Outputs ВидеоDesigning Transparency, Confidence, and Human Oversight ВидеоFeedback Loops That Improve AI Products Over Time ВидеоSpotting Trust Design in an AI Product You Already UseОбсуждение

Lesson 3: Launching, Governing, and Scaling AI Products

Bias, Privacy, and Regulatory Risk in AI Products ВидеоLaunch Strategies, Monitoring, and Post-Launch AI Operations ВидеоRoadmapping AI Products: Model Iteration, Features, and Cost Trade-Offs ВидеоDesigning AI Interfaces for Trust and Transparency ЧтениеArtificial Intelligence Risk Management Framework ЧтениеThe Hardest Part of a Phased AI Launch in Your OrganizationОбсуждение
Hands-On-Learning: Build an AI Launch-Readiness ScorecardВзаимная проверка
Cross-Functional Go / No-Go AI Launch Review DIALOGUE
Project: Create an AI Product Brief for a Trustworthy AI FeatureВзаимная проверка
Measuring, Designing Trust, and Shipping AI Products ResponsiblyЗадание
Course Wrap-UpВидео