# Build apps with LLMs

Source: https://freeaicourses.com/paths/build-with-llms

## Steps

### Step 1: Hugging Face LLM Course

The most direct route to working with transformer models in real code.

You can load, run and fine-tune a pretrained model.

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

Understanding what's inside a GPT makes debugging LLM apps far easier.

You understand tokenisation and attention well enough to reason about failures.

## Projects

- Ship a small RAG app: Build a retrieval-augmented app over a document set you care about.

## Related pages

- [Hugging Face LLM Course](https://freeaicourses.com/courses/hugging-face-llm-course)
- [Neural Networks: Zero to Hero](https://freeaicourses.com/courses/neural-networks-zero-to-hero)
- [AI learning paths free to follow](https://freeaicourses.com/paths)
- [All free AI courses, rated](https://freeaicourses.com/courses)
- [AI engineer (LLM apps)](https://freeaicourses.com/roadmaps/ai-engineer-llm-apps)
- [NLP engineer](https://freeaicourses.com/roadmaps/nlp-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)
- [Deep learning, hands-on](https://freeaicourses.com/paths/deep-learning)
- [Become an ML engineer](https://freeaicourses.com/paths/ml-engineer)
- [From data analysis to AI](https://freeaicourses.com/paths/data-science-to-ai)
- [Hugging Face Learn](https://freeaicourses.com/platforms/hugging-face)