Handbook / Proof / LinkedIn Learning
The trusted French voice on how to deploy AI safely.
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. Editorial vetting is the signal, LinkedIn picked this voice on this topic.
The story in one paragraph
In September 2023, LinkedIn Learning selected Charafeddine Mouzouni to author the platform's official French-language course on LLM evaluation. Two hours forty-five minutes. Forty-six chapters. A curriculum walking from "how do you measure an LLM's output" to "how do you give a regulator a defensible certification that the system you deployed is safe." The course is the first of its kind on this topic on the platform and is currently the trusted French-language reference for enterprise teams asking the verification question seriously.
Why LinkedIn Learning chose this voice
LinkedIn Learning is the world's largest professional skills platform. When it commissions an official course on a technical topic, it picks an author whose credibility the platform itself stakes its reputation on. The selection process is competitive, slow, and tied to the platform's editorial credibility.
In a market full of AI commentators, LinkedIn picked an author with a specific shape: an AI scientist with peer-reviewed research on the exact topic of the course (LLM evaluation, conformal prediction, self-consistency, exploitation surface), an enterprise shipping record (60+ AI systems for BCG, Google, PwC, Microsoft, IBM, Amazon), and a teaching practice already running at scale (Master's-level at OPIT). That intersection is rare.
The course was co-instructed with Madjid Khichane, an engineer with a PhD in AI. Together they covered the full chain from measurement methodology to deployment certification.
What the course covers
| Block | Topic | Why it matters in production |
|---|---|---|
| 1 | Frameworks for LLM evaluation | How to set up an evaluation pipeline that holds up under audit. Distinguishing benchmark scores from real-world quality. |
| 2 | LLM-as-judge methodology and bias | What it costs to let one LLM judge another. When the methodology is sound. Where the biases are. |
| 3 | Self-consistency evaluation | Charafeddine's published methodology. How to detect when an LLM is hallucinating because the same prompt gives different answers. |
| 4 | Conformal prediction | The mathematical layer that turns "the model is usually right" into "the model is provably right within stated bounds." The certification primitive. |
| 5 | Agent exploitation surface | The attack vectors against deployed AI systems. What red-teaming actually looks like. What guardrails actually catch. |
| 6 | Regulatory mapping | How these methodologies map to AI Act Article 12, ISO 42001, NIST AI RMF. |
What this signals to enterprise buyers
Editorial vetting
LinkedIn Learning does not ship courses by unvetted authors. The selection process audits credentials, technical depth, and pedagogy. By picking Charafeddine to teach this topic in French, the platform put its own brand behind his methodology.
Methodological credibility
The course teaches conformal prediction, self-consistency, and exploitation-surface analysis at production grade. Each of these is part of Charafeddine's published research. The teacher and the practitioner are the same person.
Audience overlap
The L&D leaders, CIOs, and CTOs your team competes against are on LinkedIn Learning. Many have watched the course or know someone who has. The brand is a known quantity in the rooms where Cohorte engagements get approved.
How this connects to Cohorte programs
The LinkedIn Learning course is a 2h45 version of the operating layer Cohorte installs at scale. It is the introductory exposure. The Cohorte bootcamp, the Verification Masterclass, and the AI Readiness Program apply the same methodology against your real systems, with mentor accountability and shipped artifacts.
The relationship. The LinkedIn Learning course gets the methodology into your firm's heads. The Cohorte programs get it into your firm's systems. They compound. Many of Cohorte's enterprise clients have watched the course before the discovery call.
The course is in heads. We get it into systems.
Watch the course on LinkedIn Learning: Evaluation LLM: De la mesure à la garantie. Then book a discovery call to apply the methodology inside your team.