The courses

Three courses, from employees to executives.

Each course is made of 15 to 30-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
• Course 3: the digital revolution in business in the age of 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

Embrace the digital revolution without getting off on the wrong foot

• Move beyond mere hype to successful digital and AI projects.
• Identify your company's position, make the most of the data you already hold, choose the right applications for AI, and comply with the legal framework governing personal data.

For managers and executives

Whether you're running an SME, a business unit or a department, digital transformation and AI require informed decisions: where to start, which project to choose, and what risks to anticipate. These five short guides provide the key insights you need to make decisions, even if you're not an expert.

Duration: 5 modules of 20 to 30 minutes each and a final quiz: 110 minutes in total.

What you will be able to do at the end

• 
  Where to start with your digital transformation · 20 min

  • Distinguishing between the six processes of digital transformation, from automation to data-driven learning
  • Understanding the use of AI in businesses and recognising the stated barriers, including a lack of expertise
  • Distinguishing between a written rule and a rule derived from examples, and assessing your organisation's current situation using six questions
  • Identifying the four obstacles between a successful pilot and full-scale roll-out, then selecting an initial project using five questions
  • The downloadable kit
• 
  What your data is already worth · 20 min

  • Identifying the data that a business already holds, whether structured or unstructured, within its software, emails and documents
  • Understanding that data only has value when contextualised and linked to other data via a common reference point
  • Knowing which data to retain, and for how long, depending on the objective and the law
  • Getting started in three steps: ask a strategic question, identify the data that answers it, and validate with business experts
  • The downloadable kit
• 
  What artificial intelligence can really do · 20 min

  • Understanding what AI is, a concept that learns from examples, and what has changed since 2023
  • Debunking common misconceptions about cost, simplicity and skills, and distinguishing between the four ways to implement AI
  • Knowing when AI is the right tool and when conventional software is sufficient, whilst ensuring you have enough examples
  • Checking the project requirements: reliability of responses, confidentiality of the data provided, costs after implementation, and European regulations
  • The downloadable kit
• 
  Developing a strategy using Business Intelligence · 20 min

  • Understanding why Business Intelligence is no longer the preserve of large companies: the barriers of data, cost and technology have been broken down
  • Applying the five-step approach, from defining the business problem to extracting value
  • Asking the right question, cross-referencing available data and avoiding the pitfalls of natural language
  • Moving from symptoms to causes, predicting rather than reacting, and bringing together the three skills that ensure the approach is sustainable in the long term
  • The downloadable kit
• 
  Managing personal data within the legal framework · 30 min

  • Identifying personal or sensitive data, even if it does not contain names, and defining the purpose before collecting it
  • Knowing when to seek individuals' consent and on what legal basis to do so
  • Understanding that liability is not transferred to a service provider, and being aware of the penalties incurred
  • Maintaining key documents (processing register, data protection impact assessment), knowing how to respond within 72 hours to a data breach, and overseeing the use of AI
  • The downloadable kit