Many entrepreneurship courses are completed like a reading list: open the material, absorb several ideas and move on. EYE4AI is most useful when approached differently. Each resource can become part of one practical business experiment, with a concrete output at the end of every learning step.
The programme was created to bridge emerging AI technologies and practical business application for young entrepreneurs, particularly those aged 18–29. Its five modules are available in English, Bulgarian, Dutch, Italian and Norwegian, supported by an e-learning platform, a digital library of more than 100 curated resources, project webinars, practice materials and a growing European community.
Begin with one real challenge
Do not start with “I want to learn AI.” Choose a business challenge that can be explored over several weeks: validating an idea, finding an underserved customer group, designing an AI-enabled service, preparing for funding, entering another market or reducing resource waste. Write down the current evidence, the decision you need to make and what a useful outcome would look like.
A six-week EYE4AI route
Week | Resource focus | Practical output |
1 | Module 1: What Is AI | A one-page AI opportunity and risk map for your venture |
2 | Module 2: Using AI to Identify Market Needs | Three customer hypotheses and a low-cost validation plan |
3 | Module 3: How to Start a Business Using AI | A simple business model and first AI-enabled workflow or prototype |
4 | Module 4: Access to Funding | A funding-needs statement, evidence inventory and investor-readiness checklist |
5 | Module 5: Internationalisation, Sustainability and Team Building | A 90-day growth experiment with team roles and sustainability metrics |
6 | Review, webinars and community | A decision log, short pitch and peer-feedback action list |
Week 1: Understand what AI can and cannot do
Use Module 1 to identify where AI may support perception, prediction, language, automation or decision support in your venture. Then add the boundaries: data quality, privacy, bias, security, cost, explainability and human oversight. The result should be an opportunity-and-risk map, not a list of fashionable tools.
Week 2: Investigate a market need
Module 2 connects AI with market research, trend analysis, sentiment, segmentation, visualisation and ethical data use. Select one customer problem, combine public information with direct interviews and use AI to organise, not replace, the evidence. Finish with three hypotheses and a specific experiment for each.
Week 3: Design the business around value
Module 3 provides a roadmap for starting and structuring a business that uses AI. Define who receives value, what process AI improves, what data or capability is required, where human review sits and how the venture could earn revenue. Build the smallest demonstrable workflow before investing in a complex product.
Week 4: Match the funding route to the need
Module 4 covers financial planning, funding options, investor readiness and pitching. Estimate what the next milestone costs and why external capital is, or is not, needed. Compare grants, revenue, loans, crowdfunding, competitions, angel investment and venture capital by stage, risk, repayment or dilution, eligibility and strategic value.
Week 5: Prepare to grow responsibly
Module 5 brings together internationalisation, sustainability and team building. Choose one 90-day growth test. Define a target market or operational improvement, the evidence required, team roles, decision rights, environmental metric and stop/adapt/continue criteria.
Week 6: Consolidate, present and improve
Use the project webinars to revisit difficult topics, search the digital library for deeper guidance and present the work to a peer, mentor or local youth organisation. Ask for feedback on evidence and execution, not just presentation style. Record which assumptions changed and what action comes next.
Use a four-part learning loop
Learn one concept from a module, webinar or library resource.
Apply it to your own venture within 48 hours.
Document the input, output, evidence, limitation and decision.
Share the result with a peer or expert and improve it.
This loop reflects the spirit of the EYE4AI Learning, Teaching and Training Activity held in Oslo from 18–20 May 2026. More than 15 young entrepreneurs and AI experts tested the training materials, connected with Oslo’s innovation ecosystem and completed the programme as certified EYE4AI Youth Ambassadors. The value came from application, discussion and exchange not passive consumption.
Build your personal EYE4AI portfolio
Keep the six weekly outputs in one folder. Add the prompts used, source links, interview notes, model assumptions, feedback and decisions. By the end, this portfolio can demonstrate practical AI literacy to a co-founder, employer, accelerator or investor far more convincingly than a completion statement alone.
Continue learning with EYE4AI
The EYE4AI community is designed to extend that learning across borders, connecting young entrepreneurs, youth leaders, business hubs and experts. Join the project channels and follow the forthcoming events so that each new resource becomes a reason to test, exchange and improve.
For more information and practical examples on this topic, explore these (EYE4AI) resources:
English