Nvidia DLI – Fundamentals of Deep Learning

Official instructor-led NVIDIA DLI workshop


Nvidia DLI - Fundamentals of Deep Learning


Dr. Andras Hajdu, hajdu.andras@inf.unideb.hu

Content and organization

Businesses worldwide are using artificial intelligence (AI) to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses of patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficient. Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in object detection, speech recognition, and language translation tasks. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software. In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll 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.

By participating in this workshop, you’ll:

  • learn the fundamental techniques and tools required to train a deep learning model,
  • gain experience with common deep learning data types and model architectures,
  • enhance datasets through data augmentation to improve model accuracy,
  • leverage transfer learning between models to achieve efficient results with fewer data and computation,
  • build confidence to take on your own project with a modern deep learning framework.



Course Duration

8 hours

Course Type

Short Course

Participation terms

Free of charge for university students and staff. An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays is a prerequisite.

Lecture Plan

The Mechanics of Deep Learning (120 mins), Pre-trained Models and Recurrent Networks (120 mins), Final Project: Object Classification (120 mins)


February 2, 2023, 9:00–17:00 CET



Modality (online/in person):



Upon successful completion of the assessment, the participant will receive an Nvidia Certificate of Competency.

Host Institution
Nvidia Deep Learning Institute, Faculty of Informatics, University of Debrecen, Hungary

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