The Pi School of AI is a leading international school promoting innovation, creativity and entrepreneurship. We are committed to continual learning and training talents that will reshape our future. Since 2017, we have welcomed hundreds of up-and-coming AI engineers and challenged them to solve industry problems in healthcare, energy, space, finance, and sustainability, among others.
To be admitted to the Pi School of AI programme, candidates must already have exposure to Python Data Science Stack (NumPy, Pandas, Scikit-learn, etc.) with a focus on Deep Learning (Pytorch or Tensorflow).
Particularly for this challenge, applicants must be confident with the EO Python Stack (e.g. xarray, geopandas). In addition, during the selection process, we will consider a familiarity with Graph Neural Networks (PyTorch geometric, PyTorch geometric temporal) and transformed-based architectures as assets.
As the challenge may involve Time Series Forecasting, causality, and explainability methods, these skills will be considered optional assets.
You’ll be mentored by some of the finest minds, representing institutions such as Cambridge, Google, Facebook, Amazon, Carnegie Mellon and more. All while gaining hands-on AI and Machine Learning experience and specialist skills by working on your sponsor company’s industry project.