Complementing ANITI’s research programs, education is one of the critical tools to develop Artificial Intelligence (AI). It is essential to significantly increase the number of students and employees receiving training in this field to meet both academic and industrial demands.

To meet this challenge, ANITI is deploying a lifelong training offer able to meet the competitiveness challenges of our industrial partners. It is in this spirit that ANITI offers a training program that will help increase the skills of industrial employees with regards to cutting edge existing technologies.

 A strength of ANITI in this education effort lies in the joint governance by academic and industrial partners. This allows partner companies to articulate their needs and academic teaching and research resources to be tailored to those needs. ANITI offers solutions adapted to expectations of evolution and skills upgrading in the constantly evolving technologies of artificial intelligence.

Continuing education programs integrating, for example, training for top management of companies, master's degree programs accessible through work-study programs or dedicated certificates, will therefore be presented to you in this section, which has, of course, the vocation to be enriched according to the needs expressed by our partners. ANITI's teams are at your disposal to develop the training offer which will allow your teams to take up the challenges of tomorrow's AI.

For any information: contact the team via the online form

The continuing education offer in AI

Proposed programs

  • Understanding the mechanisms and challenges of artificial intelligence: genesis, types of AI and applications 
  • Machine learning training for data science 
  • Advanced Techniques in R - 
  • Data Sciences (data mining) 
  • Mass data management systems : Architectures, functionalities and selection criteria 
  • AI and Multi-Agent Systems Planning, control, optimization... 
  • Machine learning and data analytics  
  • Optimization topics for AI 
  • Sequential Decision Making in AI 
  • Data value creation 
  • Data integration and  Exploration 
  • The business of data 
  • Change management
  • AI certification, robustness and dependability 
  • Big data processing 
  • Introduction to modern AI