Handbook / Catalogues / Higher Education
For institutions whose product is learning, and whose risk is misinformation at scale.
Cohorte's programs for universities, business schools, and accredited online providers. Built on the OPIT tutoring system and the LinkedIn Learning course on LLM evaluation. Designed for institutions that have to teach with AI without teaching the wrong thing.
Why HE needs different training
AI shows up in three places at once: the student is using it (often invisibly), the faculty is being asked to teach with it, and the institution is being asked to assess learning that has been AI-mediated. Each of those is a governance problem. Generic AI training answers none of them.
An AI tutor is only as good as its verification layer.
A confident wrong answer to a foundational question teaches a generation to be confidently wrong. Install the verification discipline before the tooling. OPIT is the existence proof (−60% professor support, +40% student progression).
Accreditors are asking questions you do not yet have answers to.
AACSB, EQUIS, ACBSP, AMBA, HCERES, QAA, ANVUR: all increasingly asking how AI fits into assurance-of-learning, integrity, and teaching quality.
Earned through evidence, not top-down rollouts.
An academic faculty adopts AI when they see colleagues use it well in the same field. The training programme has to be peer-credible, not vendor-credible. This is where published research and named institutional references matter most.
The HE evidence
Two named institutional engagements. Documented outcomes.
The LLM-native accredited university.
Cohorte's founder architected the AI tutoring system at OPIT, the accredited online university operating across Europe and North Africa.
−60% professor support load. +40% student progression. −80% exam-related tickets. Presented at Microsoft Milan, May 2025.
Reference: Riccardo Ocleppo, CEO. Calls within 5 business days of NDA.
The trusted French voice on LLM evaluation.
LinkedIn Learning selected Charafeddine to author the platform's official French-language course on LLM evaluation.
2h45 of content. 46 chapters. The platform's first French-language course on the topic. Maps to AI Act Article 12, ISO 42001, NIST AI RMF.
Signal: Editorial vetting. LinkedIn picked this voice on this topic.
The use cases we train against
| Use case | Where it sits | Pedagogical risk | Verification primitive |
|---|---|---|---|
| Student tutoring agent | Teaching & learning | Misinformation at scale | Citation-grounded answers, curriculum-bounded retrieval, faculty review queue |
| Faculty preparation copilot | Teaching & learning | Pedagogical drift | Source attribution, style alignment to syllabus |
| Research literature synthesis | Research | Citation accuracy | Paper-level retrieval, DOI verification, publication-date check |
| Grant application drafting | Research administration | Funder compliance | Funder-specific template lookup, eligibility check |
| Admissions essay review | Admissions | Fairness, AI-content detection | Decision logs, human-in-the-loop, bias monitoring |
| Student support / advising | Student services | Hallucinated policy | Policy-grounded answers, escalation gates, audit trail |
| Assessment generation | Teaching & learning | Validity, integrity | Bloom-level mapping, variant generation, validation testing |
| Plagiarism / AI-content review | Academic integrity | False positives | Confidence intervals, human review, documented threshold |
| Institutional knowledge agent | Institution-wide | Hallucinated procedure | Permission-aware retrieval, DLP gates, audit logs |
The HE portfolio
Sequenced to an academic rhythm. Programmes fit around teaching loads, accreditation cycles, and faculty governance.
HE Pilot · €8K–€12K · 4 weeks
One faculty, one workflowHE Team Bootcamp · €4,200/seat · 12 weeks
Private cohort · 6–15 seatsHE Curriculum License · €12,000 / year
Up to 25 seatsHE AI Readiness Program · from €35,000 · 3-6 months
Assessment + advisory + playbookThe HE objections we always hear
"Our faculty will not accept training from a non-faculty vendor."
Cohorte's founder teaches Master's-level at OPIT and authored the LinkedIn Learning course on LLM evaluation. Engagement design is peer-credible by intent: faculty workshops framed as research-to-practice translation.
"AI threatens academic integrity. Training feels like endorsing it."
The institution's AI policy is the foundation; the training programme is what makes it operable. AI Readiness Program includes an Academic Integrity extension as a deliverable.
"We have a Computer Science / AI department. Why not use them?"
Excellent. Cohorte's curriculum often lands best in partnership with an internal AI department. They teach the technical stack; Cohorte teaches the operating layer.
"Our accreditation cycle is in 18 months. Is this relevant?"
Yes. Several accreditors now ask about AI integration in teaching and learning. The AI Readiness Program produces an institutional AI policy, an Academic Integrity extension, a faculty development pathway.
"Budget is tied to academic-year cycles."
The Pilot fits within discretionary budgets and completes within one academic term. License and Bootcamp align with September and February starts.
"We need EU data residency. Cannot share student data."
Student data is not used in any Cohorte training. Training environments are student-data-free by default. EU residency (Frankfurt) on all License platforms.
Bring your worst HE use case.
Tutoring agent. Faculty copilot. Student-support chatbot. Assessment generator. Pick the one your Faculty Council is most skeptical about. €8K fixed. Four weeks.