As a graduate of this program you will have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one area within multi-agent systems, reasoning, data analytics and natural language processing. These skills are in high demand in the market. You will also have the skills to carry out AI research in academic and R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organizations.

Type of methodology: Hands-on; Lecture; Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: N/A

Participants prerequisite knowledge:  C/C++; Fortran; Python; HPC tools (e.g. profiler, scheduler); MPI; OpenMP; Machine/Deep Learning concepts; Numerical methods (linear algebra, statistics)