Libraries
Software, hardware and study spaces that support project-based learning at AI2.
Tools used in the programmes
Course work relies on professional, widely used tools rather than proprietary platforms. Across the portfolio, students work with Python and its data libraries, SQL and PostgreSQL, scikit-learn, PyTorch and TensorFlow, Git and GitHub, Docker and continuous-integration pipelines, Airflow and cloud services. The IoT pathway adds hands-on work with ESP32 boards, sensors, Raspberry Pi and LoRa hardware. Each programme page lists the tools covered in its curriculum.
Study spaces and documentation
Teaching rooms with interactive displays, modular seating and shared workspaces are available on the Écouen campus for classes, group projects and individual study. Course materials, lecture resources and project briefs are shared with enrolled students through the programme’s online workspace. Discover the classrooms and shared areas on the campus life page.
Before enrolling
Students bring their own laptop. Ask the academic team about software licences, cloud credits and any equipment requirements for your programme, so that you are ready for the first project from week one.