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 generative ai rather than a purely theoretical overview.
ESH-00862 · Artificial Intelligence
Generative AI Applied Lab for Early-Stage Startups — Artificial Intelligence
A 18-hour intermediate course for founders with an idea, prototype or early customers who want to produce a complete applied project in generative ai. The course combines the artificial intelligence 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.
Self-paced online18 hoursIntermediateEarly-Stage StartupsBuild pathway
What you need
A current startup or validated venture concept is recommended.
European Startup Hub Certificate of Completion — Generative AI Applied Lab
A staged portfolio of applied outputs culminating in a final project.
Learning outcomes
What you will be able to do.
Outcome 1
Explain the core principles of generative ai in the context of artificial intelligence.
Outcome 2
Diagnose a realistic generative ai challenge using structured startup tools.
Outcome 3
Build a practical generative ai output appropriate for early-stage startups.
Outcome 4
Evaluate evidence, assumptions and trade-offs before making generative ai decisions.
Outcome 5
Apply generative ai 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
12 course modules.
Each module combines explanation, examples and an applied activity.
Module 1
Foundations of Generative AI
Practical study of foundations of generative ai with examples, prompts and an applied activity.
Module 2
The Artificial Intelligence context
Practical study of the artificial intelligence 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 Generative AI
Practical study of tools and frameworks for generative ai 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.
Module 9
Risks, ethics and common failure modes
Practical study of risks, ethics and common failure modes with examples, prompts and an applied activity.
Module 10
Case study: Generative AI in practice
Practical study of case study: generative ai in practice with examples, prompts and an applied activity.
Module 11
Applied workshop: build your Generative AI output
Practical study of applied workshop: build your generative ai output with examples, prompts and an applied activity.
Module 12
Action plan and next milestones
Practical study of action plan and next milestones with examples, prompts and an applied activity.
Assessment
A staged portfolio of applied outputs culminating in a final project.
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.
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Generative AI Applied Lab for Early-Stage Startups — Artificial Intelligence · 18 hours · Self-paced online
Enrol for €330