AI literacy for education
5 modules that bring your education institution in line with the EU AI Act. From teacher to IT administrator, including the sector-specific deep-dive on assessment, admissions and student tracking systems.
Why these modules for education
- 1AI in assessment and admissions is listed in Annex III point 3 — explicitly high-risk with an impact on life chances
- 2Student tracking systems and adaptive testing bring profiling and bias risks
- 3The transparency obligation towards students and parents requires sector-specific knowledge from teachers and examination boards
Your training package
Base package
AI in the workplace
Base training on recognising AI in everyday tools, using it safely, protecting privacy and spotting warning signs. Required for every employee under Article 4.
What you'll learn
- ✓Recognising AI in everyday tools and situations
- ✓Do's and don'ts when using AI at work
- ✓Spotting warning signs and reporting them correctly
Deploying AI responsibly
AI governance for decision-makers: deployer obligations, risk classes, shadow AI policy and incident management.
What you'll learn
- ✓Understanding deployer obligations and the risk of fines
- ✓Setting up AI policy and shadow AI governance
- ✓Carrying out risk assessment and managing incidents
AI and recruitment & selection
AI in recruitment and selection is explicitly high-risk under Annex III. This module covers recognising bias, the transparency obligation and human oversight.
What you'll learn
- ✓Why AI in HR is explicitly high-risk (Annex III)
- ✓Recognising and preventing bias in selection
- ✓Meeting the transparency obligation towards applicants
Managing and securing AI
Technical module: provider vs deployer, logging and monitoring, cybersecurity threats and shadow AI governance at enterprise level.
What you'll learn
- ✓Provider vs deployer distinction and compliance consequences
- ✓Implementing logging, monitoring and a kill switch
- ✓Detecting shadow AI and setting up enterprise governance
Sector module
AI in education
Sector deep-dive for education: AI in assessment and admissions, student tracking systems, bias in education data and transparency towards students.
What you'll learn
- ✓Why AI in education is explicitly high-risk (Annex III)
- ✓Safely deploying AI in assessment and admissions
- ✓Safeguarding bias and transparency towards students and parents
Worked example
An education institution with 50 employees
| M1 — Employee | 50 pers. | €2.000 |
| M2 — Manager | 8 pers. | €320 |
| M3-HR — HR | 3 pers. | €120 |
| M3-ON — Education | 30 pers. | €1.200 |
| M4 — IT | 4 pers. | €160 |
| Total first year | €3.800 | |
| From year 2 (subscription) | €1.900/jaar | |
| excl. VAT | ||
Frequently asked questions about AI training in education
Yes. Every module ends with an exam (70% pass mark). On passing, the employee receives a certificate with learning outcomes and a reference to the specific EU AI Act articles. That is the evidence a supervisory authority can request in an audit.