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Science, Technology, Health

Diplôme d'établissement Expert en Intelligence Artificielle

  • School / Prep

    ENSEIRB-MATMECA

  • Language(s) of instruction

    French

Presentation

The Diplôme d'établissement "Expert Intelligence Artificielle - EIA" is an ENSEIRB-MATMECA - Bordeaux INP Master 2 (BAC+5/BAC+6) diploma, piloted by the "Trustworthy AI" chair in partnership with the Fondation Bordeaux Université, the University of Bordeaux, Kedge Business School and the companies AtHome Solution, Catie, Fieldbox AI, Floa and Guy Hoquet.

The modules are taught by internationally-recognized AI researchers and/or speakers from specialized companies.

 

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Objectives

  • To offer fast-track training for professionals and graduates wishing to complement or broaden their skills in the field of artificial intelligence.
  • Enable learners to use real-life case studies, combining pedagogical use cases, concrete cases and cases linked to their business issues, to learn about tools and approaches based on the latest AI solutions, while being able to understand their limits, whether legal or technological.
  • The learner will be able to choose an appropriate AI solution that can be deployed to address his or her own issues, while anticipating the impacts (technological, ethical, environmental) of his or her choices in relation to his or her own business.
  • Targeted professions: design and maintenance of a decision support system (AI project manager, AI architect, data manager, AI project management).
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Program

UE1: Issues, Law, Ethics of AI
Module 1: Definition, Issues, Limits, Law (1.5d: 12h)
Module 2: Ethics and Trust in AI (1.5d: 12h) 

UE2 : Trust Guarantees
Module 3 : Knowledge Representation - (Ontologies, ...) (1.5d :12h)
Module 4 : Search Algorithms - (Meta heuristics, ...) (1.5d: 12h)


UE3: Balancing Performance and Trust
Module 6: Data Science (1d: 8h)
Module 7: Machine Learning (1d: 8h)
Module 8: Neural Networks (2d: 16h)
Module 9: Advanced Neural Network Structures (2d: 16h)


UE4: Implementing Trustworthy AI Solutions
Module 5: Implementing Trustworthy AI (3d: 24h) - Application Projects
Module 10: Implementing Machine Learning (3d: 24h) - Application Projects

 

The course offers 6 sessions of 3 days each, for a total of 144 hours of tuition. The semester runs from February 12 to July 11, 2025. The timetable follows the chronology of modules 1-9 in groups of 3 days. UE 4 is taught in modules 2 and 3. This division also enables independent teaching blocks to be followed.

  • Only the completion and validation of all UEs entitles the student to the school diploma.

Contact us to receive the DE EIA calendar: fc@enseirb-matmeca.fr

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Admission

Admission requirements

Master 1 (bac+4) or Master 2 (bac+5) level. 

Continuing education: 3 years' professional experience in the field. 

Candidate recruitment

  • Detailed CV describing professional experience and assignments completed
  • Cover letter
  • Test: 30-question MCQ (basic programming / Python)
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Target audience

For professionals and graduates wishing to complement or broaden their skills in the field of artificial intelligence. 

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Tuition fees

  • Full price 144h / 18 days: €4,650 incl. VAT
  • 24h module / 3 days: €1,300 incl. VAT
  •  Reduced rate 18 days = €3,500 incl. VAT (from 6 people from 1 establishment OR Bdx INP staff)
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Mandatory prerequisites

Basic programming / Python skills required. 

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