AI Acculturation for decision-makers
(2 days)

How can AI provide new business opportunities for your company?

Nb. days
Min. participants
Max. participants
Toulouse, Paris, etc.
1500€ HT
AI Acculturation for decision-makers <br/> (2 days)

AI is now everywhere: in homes, in cities, on the Internet, but also in companies... At the heart of a new wave of innovation, it plays a decisive role in the competitiveness of tomorrow's companies.

Do you want to understand the challenges of tomorrow and boost your business with the capabilities that AI offers?

2 days of training for Managers to understand the decisive role of AI in the competitiveness of companies through a business-oriented approach and various practical cases.


  • Understand the fundamental concepts of AI
  • Decipher the new opportunities that AI can bring to your business
  • Know the trends
  • Master the impacts
  • Obtain the keys to initiate an AI strategy and launch your first projects
Alexia Audevart
To know the dates of the next training sessions,
to adapt this program to your needs
or to obtain additional information,
contact us!

Teaching method

  • Illustration of the concepts by concrete cases
  • Practical exercises
  • Collective workshop to exchange and learn between trainees, experts and trainers


No prerequisites are required


  • Anyone who wants to understand the challenges of AI in order to be able to develop an AI strategy within their company.
  • Executives, company managers, directors, heads of departments, CIOs, CDOs, consultants, project managers, etc.


This training does not require a formal evaluation of learning.
Will be given to each participant:
  • Training certificate
  • All the materials
  • Training evaluation questionnaire


Day 1: Discovering AI and its applications

AI from the 1950s to the present day
  • Creating an image dataset
  • Big Data
  • History of AI
  • Machine Learning
  • Leaders in AI
  • Positioning of France
  • AI professions
How does a machine learn?
  • Different types of learning
  • Learning model
  • The five tribes of Machine Learning
  • Deep Learning
Applications of AI
  • Different types of learning
  • Prediction
  • Customer segmentation
  • Predictive Maintenance
  • Recommendation system
  • Image and text analysis
  • Generative networks

Day 2: AI strategy for business

AI in different sectors of activity
  • Use cases in Justice
  • Use cases in HR
  • Use case in medicine
  • Use case in the factory of the future
Risks & Ethical issues
  • Explicability of algorithms
  • Data bias
  • Algorithm Bias
  • Weak AI and strong AI
  • Towards a regulation of AI
  • Towards a disruption and the end of wage employment
Setting up an AI project
  • Identification of use cases
  • Impact on the organization and the functioning of the company
  • Methodological approach
  • From POC to industrialization
  • R&D management, DataLab, collaboration with startups