> For the complete documentation index, see [llms.txt](https://docs.arcee.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.arcee.ai/other/learning-paths.md).

# Learning Paths

AFM Learning Paths provide step-by-step instructions on how to deploy AFM models on various platforms. These learning paths provide insight on the model, serving libraries, and the hardware they're run on. 

Select any of the paths below to start your journey of running AI efficiently, securely, and cost effectively:

| Title                                                                | Who it's for                                                                                                                                                    | Link                                                                                                                   |
| -------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- |
| Deploy Arcee AFM-4.5B on Arm-based Google Cloud Axion with Llama.cpp | This Learning Path is for developers and ML engineers who want to deploy Arcee's AFM-4.5B small language model on Google Cloud Axion instances using Llama.cpp. | [Go to learning path](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-gcp/) |
| Deploy Arcee AFM-4.5B on Arm-based AWS Graviton4 with Llama.cpp      | This Learning Path is for developers and ML engineers who want to deploy Arcee's AFM-4.5B small language model on AWS Graviton4 instances using Llama.cpp.      | [Go to learning path](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arcee-foundation-model-on-aws/) |