The courses

Two courses for all employees.

Each course is made of 15-minute modules, taken separately or in sequence, and ends with a final quiz leading to a certificate of achievement. At the end of each module, a one-page kit to download.

The courses are available in the catalogues of the Cornerstone and CEGID Content platforms, and can be deployed on your LMS in SCORM format. Modules exist in French, English and Spanish depending on the course: ask us for the languages available.

• Course 1: AI in the workplace, security and performance
• Course 2: work and collaborate better with digital tools and AI

Don't let AI develop without keeping it under control.

Turn basic exposure to AI into true mastery of the technology. Boost your performance with AI, while adhering to key data security principles.

For all employees

Whether you're an assistant, manager, sales representative, or technician, AI tools have become indispensable. Understanding these tools, including their risks and potential, is essential in the workplace.

Duration: 5 modules of 15 minutes each and a final quiz: 75 minutes in total.

What your employees will be able to do at the end

• 
  AI Mindset Reset · 15 min

  • Placing generative AI within the broader context of professional transformation and moving beyond emotional reactions
  • Debunking four common misconceptions: understanding, neutrality, autonomy, and the replacement of expertise
  • Identifying the shift in value: from production to judgment, validation, and accountability
  • Recognizing three risky behaviors: overconfidence, avoidance, and gradual abdication of responsibility
  • The downloadable kit
• 
  How enterprise AI actually works · 15 min

  • Distinguish between predictive AI and generative AI, and understand why a language model makes predictions without understanding
  • Identify why the confidence score of an AI output is not an indicator of reliability
  • Understand the mechanism of hallucination and the difference between correlation and causation
  • Recognize the three structural limitations of models: training data bias, obsolescence, and lack of domain context
  • The downloadable kit
• 
  Safe & responsible AI use at work · 15 min

  • Classify data before sharing it with an AI tool: public, internal, sensitive
  • Apply a four-question checklist before submitting any content to an AI
  • Understand the four risk levels outlined in the European AI Regulation and the associated obligations
  • Take personal responsibility for the data submitted, the outputs used, and the decisions made
  • Recognize instances of Shadow AI and understand why a tool's reputation does not replace a contractual framework
  • The downloadable kit
• 
  AI & Decision-making · 15 min

  • Recognize automation bias as a gradual drift, exacerbated by time pressure and the system's past reliability
  • Distinguish between algorithmic authority and legitimate data-driven reasoning
  • Apply a four-step framework (Explore, Challenge, Verify, Arbitrate) to maintain human judgment at every stage
  • Document decisions with a full justification, beyond a simple AI score
  • Identify red zones where AI can inform but never decide
  • The downloadable kit
• 
  AI in regulated & industrial contexts · 15 min

  • Identify critical processes by asking three questions related to safety, legal liability, and human consequences
  • Classify AI usage into three risk levels based on the specific process involved, not the tool
  • Know when to document, approve, or reject an AI use case in a highly critical context
  • Distinguish between what falls under human supervision and what falls under scope rejection
  • The downloadable kit