AI Course Check

fast.ai

Practical Deep Learning for Coders

Practical Deep Learning for Coders is a free course from fast.ai, online. fast.ai doesn't say whether there is a certificate. We rate it intermediate level; the provider doesn't say.

Before you sign up

Made for coders with about a year of experience, ideally in Python, who learn best by building first. Part 1 alone is 9 lessons of about 90 minutes across vision, NLP, tabular data and deployment, and it's free. No certificate is mentioned, so don't expect a credential. The coding prerequisite makes it intermediate. Once you're through, the LLM Course from Hugging Face is a free next step.

Properties

Provider
fast.ai
Format
Self-paced
Delivery
Online
Duration (as stated by provider)
9 lessons, and each lesson is around 90 minutes long
Level
Intermediate (our rating)
Cost
Free
Certificate
Not stated by provider
Language
English
Funding
None
Next start
Start any time

Checked against fast.ai on Oct 26, 2026

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What you'll learn

Free, example-first deep learning course using PyTorch, fastai and Hugging Face, covering vision, NLP, tabular data, collaborative filtering, random forests and deployment. Part 1 has 9 lessons of about 90 minutes.

  • Deep learning
  • Machine learning
  • Computer vision
  • Natural language processing

Who it's for

  • Developers and engineers
  • Data scientists and analysts

Level: intermediate (our rating). Delivery: online, self-paced.

Prerequisites

About a year of coding experience, preferably Python; high-school maths

Is Practical Deep Learning for Coders free?

Free.

Certificate: not stated by provider.

Where to take it

Questions people ask

How much does Practical Deep Learning for Coders cost?

It's free.

Do I need experience first?

It's an intermediate course (our rating; the provider does not state a level). Prerequisites: About a year of coding experience, preferably Python; high-school maths.

When does Practical Deep Learning for Coders start?

Start any time.

Alternatives

How we chose these

How we chose

  • Alternatives: Chosen from other courses of the same kind, then by shared topic. Closed courses are left out.
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