fast.ai Practical Deep Learning for Coders

Category

AI / ML / Deep Learning

Provider

fast.ai

Type

course

Level

Foundation

Topic

AI / ML / Deep Learning

Track

AI / ML / Deep Learning

Section

Learning path

Format

Course / notebooks

Status

publishable

Commercial

link-only

Featured

yes

Fast start

yes

Sequence

2.0

Priority

Fast

Primary source

direct_links_master

Sources

direct_links_master, learning_paths, mega_open_hub, website_existing

ID

cccc021ed523042e

Deep Learning Book

Goodfellow, Bengio, Courville

Canonical deeper reference once you have basic practice.

Stanford CS229: Machine Learning

Stanford

Solid mathematical and algorithmic treatment of core ML.

Google Machine Learning Crash Course

Google

High-signal introduction to supervised learning, feature engineering, evaluation, and modern ML workflow.

DeepLearning.AI

DeepLearning.AI

Modern AI short courses and lecture-style refreshers across LLMs, agents, CV, and production AI.

scikit-learn documentation

scikit-learn

Still the fastest way to build strong baselines and classical ML systems.

PyTorch: Learn the Basics

PyTorch

Best starting point for custom training, experiments, and research code.

Hugging Face Learn

Hugging Face

Covers transformers, LLMs, agents, CV, audio, RL, and more with modern tooling.

Hugging Face LLM Course

Hugging Face

Hands-on route into NLP and large language models using the Hugging Face ecosystem.

OpenAI Spinning Up in Deep RL

OpenAI

Educational package for becoming a practitioner in deep reinforcement learning.

Hugging Face Deep RL Course

Hugging Face

Completely free and open deep reinforcement learning course with practical labs.

Stanford CS231n

Stanford

Still one of the best deep learning for vision courses.

Stanford CS224n

Stanford

Strong sequence-modeling and language modeling foundation.