Getting Your Teams' Technical AI ProficiencyFormally Recognized
AICET Training is the reference pathway for technical AI profiles in enterprise. Concluded by an official certification issued by APAVE, it gives data scientists, ML engineers, and AI architects formal recognition of their technical expertise. For the organization, it provides auditable proof aligned with the AI Act.

- ✓ Official APAVE certification
- ✓ AFNOR SPEC 2401 standard
- ✓ Aligned with AI Act Art.4
Why Technical AI Proficiency Must Now Be Proven
Technical AI profiles today carry the most critical uses within the organization. Yet it remains very difficult to prove their actual skills beyond a CV, a degree, or a job title.
In a market where cloud and cybersecurity already have recognized benchmarks, AI engineering still lacks a clear, formal, and enforceable standard. For large organizations, this gap creates exposure in compliance, commercial relationships, and talent management.
Who is AICET Training for?
AICET Training is exclusively designed for technical AI profiles — those for whom AI is the core of their technical role. This is neither a training program for generalist employees, nor an acculturation initiative: it is a dedicated pathway for confirmed profiles, concluded with a recognized certification.
01
Data scientists and lead data scientists
02
ML engineers and MLOps engineers
03
AI engineers, AI architects, internal AI researchers and AI R&D teams
04
Technical AI leads in business units or IT departments
A Rigorous Pathway
The AICET Training pathway prepares candidates for the official certification at the highest standard of rigor. It is built on the proprietary AICET framework — over 400 technical AI skills calibrated and validated by the scientific committee — and deploys a proven thematic assessment mechanism:

Thematic assessments across the 5 dimensions of the AICET standard, at the 3rd difficulty level (Expert level): Theoretical, applied, operational, legal & ethical, general AI culture.
Immediate feedback after each assessment, enabling candidates to precisely identify their consolidation areas before the exam.
Structured exam preparation, with a professional rigor equivalent to that of major international technical certifications.
The AICET Certification
by APAVE
The official AICET certification is issued by APAVE, an independent third-party body and leading professional certification authority in France. This governance by a trusted third party guarantees the impartiality of the recognition, its robustness under audit, and its market value.
For whom?
For technical AI profiles who want formal recognition of their expertise, and for organizations that must certify the actual in-depth knowledge of their AI teams.
What does it cover?
The five dimensions of the AICET standard at Expert level : theoretical mastery of models, applied proficiency, operational robustness, legal and ethical awareness, general domain culture. The candidate is assessed across the full spectrum of AI engineering, not on a single technological fragment.
What value does it carry?
- For the employee: formal recognition endorsed by a recognized trusted third party — a solid professional benchmark in a market that previously lacked one.
- For the organization: an enforceable auditable proof, actionable before regulators, regulated market clients, and AI compliance audits.
Diagnostic and Training:
two complementary solutions
AICET Diagnostic and AICET Training address two distinct needs. Together or separately, the choice is yours. Engage AICET Training for your technical profiles without a prior Diagnostic, or alternatively, run a standalone Diagnostic to objectively measure AI proficiency across your organization. We adapt to your needs.
| Purpose | Map AI skills across the organization |
| Target | All job functions exposed to AI |
| Scale | Organizational (macro view by job function) |
| Main deliverable | Strategic diagnostic + mapping + recommendations |
| Use | Transformation steering, global compliance, training plans |
| Purpose | Formally recognize individual technical AI proficiency |
| Target | Technical AI profiles (data scientists, ML engineers, AI architects…) |
| Scale | Individual (pathway concluded with a certification) |
| Main deliverable | Official certification by APAVE |
| Use | Professional recognition, auditable proof of proficiency |
Benefits
For the organization
- Secure strategic expertise at the core of AI products and systems.
- Prove the competence of technical AI teams under Article 4 of the AI Act.
- Strengthen your employer brand in a tight market for scarce talent.
- Retain rare technical profiles by offering them a recognized career pathway.
For the employee
- An official certification issued by an independent trusted third party.
- An objectively validated and recognized professional pathway.
- Belonging to the market standard in AI engineering.
Frequently Asked Questions
Make Your Teams' Technical AI Proficiency
a Proof, Not a Promise

