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Parcours Artificial Intelligence 2e année

Master Informatique

Sciences, technologies, santé, ingénierie
  • Durée

    1 an

  • Composante

    UFR IM2AG (informatique, mathématiques et mathématiques appliquées)

Présentation

The Master of Artificial Intelligence aims to provide all students, irrespective of their country of origin, with access to top-tier graduate training in AI fields where Grenoble's scientific research community excels.
The learning objectives of the AI ​​Master are designed to provide students with in-depth knowledge and practical skills in AI. The main axes are as follows:

  • Acquisition of In-Depth Knowledge: Students will acquire a deep understanding of the theoretical and practical principles of AI. The program covers areas such as machine learning, knowledge representation, natural language processing, among others.
  • Advanced Technical Skills: Students will be trained to use specific programming tools and languages, such as Python and CUDA, and will work on practical projects to implement AI solutions.
  • Practical Applications: The program encourages the application of AI concepts to real-world problems, with examples drawn from fields such as health, finance, robotics, etc.
  • Ethics and Responsibility: Given the ethical implications of AI, the program includes modules on ethics and social responsibility of AI engineers. A specific Teaching Unit has been created to address these aspects.

This course is taught by research professors (lecturers, university professors), associate professors and professionals in the field.

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Programme

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Master 2e année

  • UE Mathematical Foundations of Machine Learning

    6 crédits
  • UE Statistical learning: from parametric to nonparametric models

    6 crédits
  • UE Mathematical optimization

    6 crédits
  • UE Learning, Probabilities and Causality

    6 crédits
  • UE From Basic Machine Learning models to Advanced Kernel Learning

    6 crédits
  • UE Optimization under uncertainty

    6 crédits
  • UE Generative, Multimodal AI

    6 crédits
  • UE Natural Language Processing & Information Retrieval

    6 crédits
  • UE Computer vision

    6 crédits
  • UE Human Computer Interaction

    6 crédits
  • UE Robotics

    6 crédits
  • UE Computer Graphics

    6 crédits
  • UE Large scale Data Management

    6 crédits
  • UE Information vizualisation

    3 crédits
  • UE Multi-agent systems

    3 crédits
  • UE Explainable & Trustworthy AI

    3 crédits
  • UE Scientific Methodology and Performance Evaluation

    3 crédits
  • UE Optimized Management & Processing for learning

    3 crédits
  • UE Advanced models and methods in operations research

    6 crédits
  • UE GPU Computing

    6 crédits
  • UE Research project

    30 crédits
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