Getting started with AI is surpisingly simple and can begin completely free. These lab guides provide hands-on learning paths for those who want to build their own AI environments from the ground up, whith options that scale affordably: start with completely free tools and resources, progress to intermediate setups, or advance to professiona-grade environments that you can directly apply to real world use cases as your skills and needs grow.
These labs are community-driven and constantly evolving. Spot an improvement or catch an error? We'd love your contribution via Pull Request, or just reach out to the repository contributors.
- Text focused labs
- Running your first AI model locally with Ollama
- Running Daniel Miessler's fabric framework
- Open WebUI front end
- Audio focused labs
- Transcribe an audio file
- Voice generation
- Image focused labs
- Diffusion server
- Computer vision model with laptop webcam
- Add object detection to your security camera with Frigate
- Agentic focused labs
- Agentic platforms
- n8n
- Flowise
- Installing Flowise
- Agentic platforms
Need ideas for what your home lab could look like? Want to confirm compatible parts? Here are labs of our Community members.
Are you running a lab that uses a Raspberry Pi 5 and it needs a home?
Check out this design for a case: pi-case
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F5's solutions offer tremendous value once you have learned how to build AI. Here are some labs that introduce those solutions. Secure deliver optimize GenAI
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Here are some more labs we've come across. PR's are welcome!