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Space Education Catalogue

Mastère Expert en Intelligence Artificielle

• Organisations :
  • Campus YNOV Bordeaux - École des métiers du digital
  • Campus YNOV Aix-en-Provence - Ecole des métiers du digital
  • Campus YNOV Paris - Ecole des métiers du digital
  • Campus YNOV Toulouse - École des métiers du digital
• Way of training : Initial education - Sandwich/Apprenticeship training - Blended learning
• Language(s): French
• Place: Bordeaux et autres Campus
• Prepared diploma/grade/title: Mastère, Mastaire,... (master degree level from a French academic institution)
• 1st required level : French baccalauréat + 3
• This training is included in RNCP / RS

Course Details

Objectives : Explore cutting-edge AI technologies by working on advanced machine learning and deep learning algorithms to develop predictive models and intelligent solutions.

In the Master in Artificial Intelligence, the emphasis is on this complementarity between AI and data science.

In addition to technical skills, develop essential soft skills such as project management, teamwork and communication, to stand out in the job market.

Learn from working professionals and benefit from their expertise and current market vision.

Nombreux partenaires parmi lesquels : AIRBUS.

Concerned campuses: Aix-en-Provence, Bordeaux, Lyon, Nantes, Paris, Toulouse, Lille, et Rennes

Degree Level (EU) : 7 - (EQC level or equivalent)

Acquired skills during the training : - Exploratory data analysis: Ability to explore and analyze large data sets to extract relevant insights.
- Statistical modeling: Skills in creating and using statistical models to interpret complex data.
- Machine learning: Mastery of machine learning techniques and algorithms to develop high-performance predictive models.
- Optimization of the performance of algorithms and models: Continuous improvement of models and algorithms to ensure their efficiency and accuracy.
- Development of artificial intelligence: Design and implementation of AI solutions to solve complex problems.
- Communication of results: Ability to clearly present and explain the results of data analysis and AI models.
- Project management: Skills in planning, organizing and managing technological projects.
- Technology monitoring: Monitoring technological advances and trends in artificial intelligence to stay at the forefront of innovation.
- Compliance with ethical and legal standards: Application of ethical standards and legal regulations in the development and use of AI.

Targeted careers : - Research and development engineer
- IT project manager
- Information technology consultant
- Network/systems engineer
- Project engineer
- Systems and network engineer
- Information system manager
- Network and security administration manager

Duration and terms : 2 years

Dedicated web site : https://www.ynov.com/formations/intelligence-artificielle-data/mastere-expert-en-intelligence-artificielle

Disciplines

• Engineering Sciences
• System Engineering, Programme Management, Production

Topics

• 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence
• 17 - Project Management, Production, Industrialization, Factory of the Future, Integration, Supply Chain, Maintenance, Recycling
• 20 - Health and Society: Health, Space Medicine, Biomedical, Biological Engineering, Risks, Defence, Security, Tourism, Policy