# Deep learning, hands-on

Source: https://freeaicourses.com/paths/deep-learning

## Steps

### Step 1: Practical Deep Learning for Coders

You'll have a trained model within the first sitting, then learn why it works.

You can train and deploy real image and text classifiers.

### Step 2: Neural Networks: Zero to Hero

Strips away the framework so you understand what's actually happening inside.

You can implement backpropagation and a small transformer from raw Python.

## Projects

- Ship a classifier: Deploy a trained model as a small working web app.

## Related pages

- [Practical Deep Learning for Coders](https://freeaicourses.com/courses/practical-deep-learning-for-coders)
- [Neural Networks: Zero to Hero](https://freeaicourses.com/courses/neural-networks-zero-to-hero)
- [Build apps with LLMs](https://freeaicourses.com/paths/build-with-llms)
- [AI learning paths free to follow](https://freeaicourses.com/paths)
- [All free AI courses, rated](https://freeaicourses.com/courses)
- [Deep learning engineer](https://freeaicourses.com/roadmaps/deep-learning-engineer)
- [AI learning path for non-coders](https://freeaicourses.com/paths/ai-for-non-coders)
- [Use AI tools well at work](https://freeaicourses.com/paths/ai-at-work)
- [Python for AI, from zero](https://freeaicourses.com/paths/python-for-ai)
- [Machine learning foundations](https://freeaicourses.com/paths/ml-foundations)
- [The maths ML actually uses](https://freeaicourses.com/paths/maths-for-ml)
- [Become an ML engineer](https://freeaicourses.com/paths/ml-engineer)
- [From data analysis to AI](https://freeaicourses.com/paths/data-science-to-ai)
- [fast.ai](https://freeaicourses.com/platforms/fast-ai)