Current
Intermediate
Practical Deep Learning for Coders, v3
fast.ai · fast.ai · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
Self-paced
Classes
15
Version 3 of the practical deep learning course with cloud GPU setup guidance and project-first instruction.
What you'll get
Set up efficient notebook-based deep learning workflows
Use PyTorch and fastai in practical projects
Train and iterate using cloud GPU environments
Follow a top-down, example-driven DL learning path
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
At least one year of coding experience
Pricing
Free
Certification
No
Growth Leverage: Completing this course allows learners to pursue roles such as Machine Learning Engineer, Data Scientist, or AI Researcher, leveraging skills in PyTorch and fastai, which are in high demand in tech companies and startups alike. This expertise paves the way for further certifications like TensorFlow Developer or specialized AI programs.
Skills Value: With the practical skills gained, graduates can solve complex real-world problems in AI and deep learning, making them valuable in industries like finance and healthcare, where they can command salaries upwards of $120,000 due to the high demand for proficient deep learning practitioners.
Deep Learning
PyTorch
fastai
Cloud GPU