Pre-conference workshop: Fundamentals of Deep Learning
Monday 09 February 2026
10:00 AM – 5:00 PM
In-person at the University of Auckland
Master in-demand skills in AI, data science, accelerated computing, and more, enhancing your professional knowledge and industry recognition.
The option to attend this workshop is included in your conference registration.
If you are already registered to attend eResearch NZ / eRangahau Aotearoa, please refer to your registration confirmation email, modify your registration, and click through the process until you come to the option of adding on the workshop.
If you are not yet registered for the eResearch NZ / eRangahau Aotearoa conference, visit our Registration page where you can choose a Full (3-day) registration, Day registration, or Student registration.
If you have any issues, please email eResearchNZConference@auckland.ac.nz
Workshop details
The workshop will cover material from the NVIDIA Deep Learning Institute (DLI), and will be taught by Dr. Nidhi Gowdra, the only NVIDIA-certified instructor at the University of Auckland. He is based at the Centre for eResearch (CeR).
By participating in this workshop, you will:
- 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 less data and computation
- Build confidence to take on your own project with a modern deep learning framework
Prerequisites:
An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line. Suggested materials to satisfy prerequisites: Python Beginner’s Guide.
Technologies:
Tensorflow 2 with Keras, Pandas
Assessment Type:
Skills-based coding assessments evaluate students’ ability to train a deep learning model to high accuracy.
Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.
Hardware:
Desktop or laptop computer capable of running the latest version of Chrome or Firefox.
Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.
Why you should attend
- Learn how to build deep learning and accelerated computing applications across a wide range of industry segments such as Autonomous Vehicles, Digital Content Creation, Finance, Game Development, and Healthcare
- Obtain guided hands-on experience using the most widely used, industry-standard software, tools, and frameworks
- Attain real world expertise through content designed in collaboration with industry leaders such as the Children’s Hospital of Los Angeles, Mayo Clinic, and PwC
- Earn NVIDIA DLI Certification to prove your subject matter competency and support professional career growth
- Access courses anywhere, anytime with a fully configured GPU-accelerated workstation in the cloud
Questions?
If you have any questions about attending this workshop, please email eResearchNZConference@auckland.ac.nz