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.

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
Get access today!

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