AI for Education
First 2027 scholarship call
AI for Education
Make the most of AI in the classroom while keeping learning at the centre: tutors that guide with hints instead of giving the answer, adaptive platforms to spot early what each student struggles with, materials and activities prepared in less time, assessment that stays reliable with AI around, and student data protected.
Developed under the new AI Act model · Continuous updates
Edition 2026
200 hours of applied learning
8 academic credits
25 lessons + 6 workshops
Digital campus
Verifiable certificate
550 USD one payment · or 2 × 275 USD (today and after 30 days)
What you'll learn
- Write the learning goal before the tool and name the evidence the model cannot be.
- Specify a bounded tutor: error codes, a three-hint ladder and stop rules.
- Read a dashboard as a witness and write a meta-diagnosis note.
- Prepare materials, activities and adapted versions with AI in less time, checking alignment, level, accessibility and rights.
- Redesign assessment so it survives the model and map a unit to UNESCO and AILit (Engage, Create, Manage, Shape).
- Apply minors' data protection and the EU AI Act timeline to an educational use.
- Defend a pilot before sceptical leadership with priced risks and stop criteria.
- Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.
Program curriculum
01 — Pedagogy first
- What AI is and how it reached the classroom
- The transfer problem
- Write the goal before the tool
- Pedagogy first, not "human in the loop"
- What "design" means on one page
02 — Tutor and scaffolding
- What an intelligent tutor really is
- The hint ladder
- Voice is not pedagogy
- Stop rules and teacher mediation
03 — Adaptation and diagnosis
- What adaptive systems change
- Reading a dashboard without believing it
- Meta-diagnosis
- Privacy and proportionate data
- Preparing materials and activities with AI without losing the goal
04 — Assessing when AI exists
- Learning integrity
- Formative assessment that still teaches
- Summative assessment that survives the model
- Generating items is not assessing
05 — Literacy frameworks
- UNESCO for teachers (AI CFT, 2024)
- UNESCO for students + OECD AILit
- One unit, two maps
- Offline by design
06 — School dossier
- What the dossier contains
- A policy that fits on one page
- Risks that need a price
- Defence script (10 minutes)
07 — IntellCore AI Act Method™ applied to your field
- The EU AI Act 2026: risk levels, prohibited practices and obligations
- Transparency, human oversight and documentation in your professional field
- Classifying and auditing a real AI use case step by step
- Your compliance file with the IntellCore AI Act Method™: from system records to the review plan
Practical application
- · Final project: a school dossier with a one-page policy, a pilot unit, a priced risk register, stop criteria and a 10-minute defence.
Practical project: Final project: a school dossier with a one-page policy, a pilot unit, a priced risk register, stop criteria and a 10-minute defence.
Who is this for?
- · Primary, secondary and university teachers
- · Heads of studies and instructional designers
- · EdTech product teams shipping tutors
Requirements
- · A unit you currently teach
- · No coding required
- · Access to an AI assistant authorised by your institution (or a free one, with no student data)
Meet your instructor
AI for Education
Chair, AI for Education
Pedagogy-first AI, constrained tutoring, assessment integrity.
Teaches: AI for Education
Edition 2026
What each week includes
Every week of the program follows the same structure.
- 01
Explainer video per lesson
- 02
Guided reading (6 h)
- 03
IntellCore Labs · ~90 min workshop with data
- 04
Verified real case
- 05
IntellCore Podcast
- 06
IntellCore Radar
- 07
Self-assessment
- 08
Practice and exam (70%, 3 attempts)
- 09
Extended practice (5 h)
- 10
IntellCore AI Act Method™ module applied to your field (30 h)
- 11
Applied final project (30 h)
- 12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
- 13
Downloadable PDF summary
Verifiable certificate
200 hours · 8 academic credits
Unique verifiable code at intellcore.ai/verify
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
