Practical Deep Learning for Coders
A free, code-first deep learning course by Jeremy Howard: you train working models first and learn the theory as you go. It needs about a year of coding experience, preferably Python, and high-school math.
Go to the course on fast.ai- Provider
- fast.ai
- Price
- Free
- Certificate
- Certificate not statedThe course page does not mention a certificate.
- Level
- Intermediate
- Time
- 9 lessons of about 90 minutes each, plus practice time
- Format
- Video lessons with Jupyter notebooks and a free companion book
- Checked
- 2026-11-05
Free course and free book. Uses Kaggle Notebooks and Paperspace Gradient, which have free options.
01
What you will learn.
- 01Deep learning
- 02Computer vision
- 03NLP
- 04Tabular data
- 05PyTorch
- 06Deploying models
More inMachine learning courses
02
Before you enroll.
From the course page, checked 2026-11-05.
- Who it is for
- People with some coding experience who want to apply deep learning to practical problems.
- You need
- About a year of coding experience, preferably in Python
- At least a high-school math course
- What you build
- Your own deep learning model, trained on data you collect and deployed by lesson 2
- Models turned into deployed web applications
- Good to know
- Part 1 videos were recorded in 2022
- Advises against training on your own computer unless you can manage GPU drivers
03
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