#students

Full Stack Deep Learning Course

Joining the course

We deliver our educational content and gather our learning community via Discord, which is also a great place to find other communities in machine learning, software engineering, product design, and more.

Registering here will trigger an email with a link to join the private Discord community.

Note that the course registration charge will appear on your statement under the name "Gantry".

Academic discount

We want to make the class accessible to students and academics on a limited budget.

To receive a code for a 50% academic discount, send an email with an image of your student ID to [email protected] with the phrase [Academic Discount] in the subject line from your .edu email address. You should receive a response quickly -- check your spam folders!

Send any other inquiries about registration to that e-mail address.

About this course

There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack production deep learning:

  • Formulating the problem and estimating project cost
  • Finding, cleaning, labeling, and augmenting data
  • Picking the right framework and compute infrastructure
  • Troubleshooting training and ensuring reproducibility
  • Deploying the model at scale

and, new in 2022:

  • Monitoring and continually improving the deployed model
  • How ML teams work and how to manage ML projects
  • Building on Large Language Models and other Foundation Models
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