Follow a 100-day sequence of machine-learning coding exercises in this repository.
Open source
24 alternativesPractical Deep Learning
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
About Practical Deep Learning
Practical Deep Learning for Coders is a free online course from fast.ai that teaches people with coding experience how to apply deep learning and machine learning to practical problems. The course is delivered as video lessons. Part 1, recorded at the University of Queensland, has 9 lessons of about 90 minutes each. It covers building and training models for computer vision, natural language processing, tabular data, and collaborative filtering, along with random forests, regression models, and model deployment. The lessons use PyTorch, fastai, and Hugging Face libraries.
The course does not require special hardware or software, and the source says it uses free resources for building and deploying models. It also does not require university-level math, since the calculus and linear algebra needed are taught during the course. The course is based on a book that is freely available online. A separate, newer course for more experienced students, Part 2, covers deep learning foundations through Stable Diffusion and is more than 30 hours long. Pricing is listed as unknown.
Key features
- Video lessons on building and training deep learning models for several problem types
- Coverage of random forests and regression models
- Instruction on deploying trained models
- Lessons using PyTorch, fastai, and Hugging Face libraries
- Companion book based on the course, freely available online
- Student forum where course projects are posted
Best for: Programmers with some coding experience who want to apply deep learning and machine learning to practical problems without prior university-level math.
Good for
- Free course according to the source
- Requires no special hardware or software, and uses free resources for building and deploying models
- Teaches the calculus and linear algebra needed within the course
Watch out for
- Designed for people with some coding experience
- Part 2 is a more than 30-hour course aimed at more experienced students
- Pricing is unknown
Practical Deep Learning at a glance
- Website
- course.fast.ai
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Good for
- Developers, Students
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Practical Deep Learning FAQ
Do I need university math to take the course?
The source says no. The course teaches the calculus and linear algebra needed during the lessons.
Do I need special hardware or software?
The source says no. It states that the course shows how to use free resources for both building and deploying models.
How long is the first part of the course?
Part 1 has 9 lessons, and each lesson is around 90 minutes long.
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