Current
Intermediate
Practical Deep Learning for Coders (2022)
fast.ai · fast.ai · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
9 lessons (~90 minutes each)
Classes
9
Free practical deep learning course covering real-world applications, deployment, and foundational model building using PyTorch and fastai.
What you'll get
Build computer vision and NLP models
Deploy models as web applications
Implement training loops from scratch
Apply practical deep learning with minimal infrastructure
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Some coding experience; high-school math
Pricing
Free
Certification
No
Growth Leverage: Completing this course equips you for roles such as Machine Learning Engineer, Data Scientist, or AI Developer, with opportunities to contribute to real-world projects and potentially pursue certifications like TensorFlow Developer or PyTorch Associate.
Skills Value: The hands-on skills in developing and deploying deep learning models cater to high demand, with salaries for machine learning positions often exceeding $120,000, as companies seek expertise in computer vision and NLP to solve complex business problems.
PyTorch
fastai
Computer Vision
NLP