Artificial Intelligence Internals (168 heures) Montée en compétences techniques en IA : Gestion des masses des données et apprentissage automatique (Data Integration and Exploration, Big Data Processing, Optimization topics for AI, Machine Learning and Data Analytics, Sequential Decision Making in AI, AI certification, robustness and dependability).
The aim is to train professionals with advanced skills in computer science, optimisation and data science for the valorisation of data deposits.
The training will address the technical and legal aspects, thus meeting the expectations of the following professions: data scientist, data engineer, data manager, data analyst, project manager, decision support engineer, quality control manager.
The originality of the training is to address a broad spectrum of skills in computer science, data science and optimisation.
The SAR training aims to train specialists in the design, modelling, analysis, optimisation and control of complex robotic systems. It covers the wide range of research and development needs related to advanced "mechatronic" systems in sectors ranging from the mechanical and mechatronic production industry to the land and air transport industry, as well as the health technology sectors.
The development and implementation of intelligent systems and robotic machines, from the processing of sensor output to its high-level interpretation by artificial intelligence methods, meets a growing need of industrialists in sectors with high employment demand. The ISI course aims to train students in research and development in the fields of intelligent systems and robotics, and in particular on subjects such as multimodal interaction, image and sound analysis, and the design and control of robotic systems, at the interface of computer science, electronics and mechanics.
The "High Performance Computing and Data Science" course is a joint course between Enseirb-Matméca and the University of Bordeaux. It is aimed at students from Enseirb, Matméca and the Bordeaux Master's in Computer Science who wish to become experts in high-performance computing and data processing and analysis.
This international master track titled 'Performance in Software, Media and Scientific Computing' or PSMSC is a one-year programme taught by the University of Toulouse. It prepares master students for top level careers or PhD programs in several application domains that require use of hardware, software and programming techniques to accelerate data-intensive computations and ensure reliable execution of cutting-edge applications.
The training aims to acquire scientific bases in artificial intelligence and robotics, a general culture in cognitive sciences and neurosciences for the "intelligent" and "bio-inspired" processing of information:
As the field of Data Science evolves quickly, ENSAI is taking advantage of the reaccreditation process to update the Master in Statistics for Smart Data program which will now be known as the Master for Smart Data Science.
