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Your team practises AI in lesson preparation, feedback and student guidance. Learn to check outputs and recognise risks, with recorded results per role.
Do you work with AI in lesson preparation, feedback and student guidance? Your role determines which knowledge and practice are relevant. The learning tracks combine AI foundations with familiar cases. Record completed training and assessment results for each employee. Privacy topics within the existing tracks address careful handling of personal data when using AI under the GDPR.
For EdTech providers, schools, universities, assessment teams, teachers and learning-product teams.
With practical interpretation from Zahed Ashkara as AI literacy, AI governance and EU AI Act consultant. The report helps teams connect Article 4 training evidence to the AI risks in this sector.
Learning products increasingly include AI-assisted features across feedback, content, analytics, and support. Teams need shared language and clear guardrails before product, privacy, content, procurement, and customer expectations drift apart.
AI touches product features, content, support, analytics, supplier tooling, and internal operations.
Build shared judgement around responsible use, data care, quality signals, supplier confidence, and human accountability.
Benchmark AI literacy before the next product, supplier, or rollout decision.
A curated set of paths for EdTech teams and education organizations.
For teams behind digital learning products that want responsible AI adoption and clear governance evidence.
A shared baseline for AI use, risk awareness, and responsible practice in digital learning products.
Practical governance for teams applying AI in learning products and education services.
High-level grip on learner data, expectations, and trustworthy AI use.
Supporting paths for education organizations adopting AI responsibly in policy and practice.
A focused ~30 minute demo path: from the AI-detection dilemma to student data, school AI policy and a playable proctoring game — what teachers, education teams and school boards need to govern AI responsibly.
A high-level route through opportunities, risks, and practical choices around education AI.
A practical foundation for responsible AI use, evaluation, and guidance in education.
Experience how the learning works with a quick sector-specific challenge.
Test EdTech decisions around AI feedback, learner data, content quality, vendor evidence, and human oversight.
Everything you need to master AI in your sector
Connect training evidence to the legal and operational questions around AI in this sector.
Common questions about this sector specialization
Give EdTech, product, content, privacy, and education teams role-based AI Act training, and show per person what they can prove in one audit-ready dossier.
Not sure where to start? Start the 5-minute scan