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.
