Early-Stage Startups
Designed for founders with an idea, prototype or early customers. It is especially useful for learners who need a structured, practical route into ai product management rather than a purely theoretical overview.
ESH-08228 · Product Management
AI Product Management Essentials for Early-Stage Startups — Product Management
A 8-hour beginner course for founders with an idea, prototype or early customers who want to apply the essential tools with confidence in ai product management. The course combines the product management context with practical frameworks, realistic cases, guided exercises and a final applied output. Participants finish with a structured approach they can adapt to a real venture, team or project.
Live online8 hoursBeginnerEarly-Stage StartupsExplore pathway
What you need
A current startup or validated venture concept is recommended.
European Startup Hub Certificate of Completion — AI Product Management Essentials
Module quizzes, applied worksheets and a final scenario exercise.
Learning outcomes
What you will be able to do.
Outcome 1
Explain the core principles of ai product management in the context of product management.
Outcome 2
Diagnose a realistic ai product management challenge using structured startup tools.
Outcome 3
Build a practical ai product management output appropriate for early-stage startups.
Outcome 4
Evaluate evidence, assumptions and trade-offs before making ai product management decisions.
Outcome 5
Apply ai product management methods to a venture, project or organisational scenario.
Outcome 6
Create a next-step action plan that can be used after the course.
Full syllabus
8 course modules.
Each module combines explanation, examples and an applied activity.
Module 1
Foundations of AI Product Management
Practical study of foundations of ai product management with examples, prompts and an applied activity.
Module 2
The Product Management context
Practical study of the product management context with examples, prompts and an applied activity.
Module 3
Customers, users and stakeholder needs
Practical study of customers, users and stakeholder needs with examples, prompts and an applied activity.
Module 4
Tools and frameworks for AI Product Management
Practical study of tools and frameworks for ai product management with examples, prompts and an applied activity.
Module 5
Evidence, data and assumptions
Practical study of evidence, data and assumptions with examples, prompts and an applied activity.
Module 6
Designing the approach
Practical study of designing the approach with examples, prompts and an applied activity.
Module 7
Execution and operating decisions
Practical study of execution and operating decisions with examples, prompts and an applied activity.
Module 8
Measurement and key indicators
Practical study of measurement and key indicators with examples, prompts and an applied activity.
Assessment
Module quizzes, applied worksheets and a final scenario exercise.
Included materials
Digital course notes · Practical worksheets · Case exercises · Action-plan template · Completion record in ESH ID
Learning support
Platform learning support; live facilitator interaction is included where the delivery format states Live online or Blended online.
Course information & disclaimer
Educational programme. Completion does not constitute professional, legal, financial or investment advice and does not guarantee funding, employment or business outcomes. Catalogue version 2026.1 · Last reviewed 2026-08-24.
Ready to begin?
AI Product Management Essentials for Early-Stage Startups — Product Management · 8 hours · Live online
Enrol for €135