NVIDIA tutorial CALL FOR APPLICATION: Fundamentals of Deep Learning​


Artificial intelligence is used by businesses worldwide to solve their greatest challenges. Application areas range from Healthcare to enable accurate and fast diagnosis to patients, personalized customer support in retail to automated systems providing safe and efficient shared mobility, delivery services and personal vehicles. Deep Neural Network learning constitutes a powerful approach that demonstrates state-of-the-art performance in many tasks, such as object detection, speech recognition, language translation, just to name a few.

This Nvidia Deep Learning Institute workshop provides you with hands-on exercises in computer vision and natural language processing.
You will train deep learning models from scratch and learn about the tools and tricks to achieve highly accurate results using Tensorflow, Keras, Pandas and NVIDIA facilities that you can continue to use for up to 6 months upon enrollment. You will also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.
You will receive a certificate of competency upon successful completion of a coding assessment at the end of the day.

Duration: 8 hours

This workshop is addressed to early career researchers.
All PhD students participating the WCCI in person who have not yet received their doctorate degree may apply.

An understanding of programming concepts in Python 3 is required. To satisfy the prerequisites we suggest the Python Beginner’s Guide:

The workshop is limited to 50 participants, so we kindly ask you to send a short (2 page) CV, as well as a (1-page) description of your research area and motivation for your application no later than June 30.
Even if you are not among the 50 selected, your application will not be in vain, since excluded applicants will be given codes for NVIDIA online courses.

Please prepare your CV and Research description and motivation as PDF files named

  • ⟨yourSurname⟩-⟨yourName⟩-CV.pdf
  • ⟨yourSurname⟩-⟨yourName⟩-motivation.pdf

then upload both documents using the following link:


Important dates

Application deadline: June 30, 2022
Notification: July 10, 2022