# Next Steps

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/)
- [Set up your environment](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/env-setup-1/)
- [Train and Test the rock-paper-scissors Model](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/fine-tune-2/)
- [Run the model on Corstone-320 FVP](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/fvp-3/)
- [Next Steps](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/training-inference-pytorch/_next-steps/)

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## Continue Learning
### Read related resources
Find more information about the topics in this Learning Path:
- [Run Llama 3 on a Raspberry Pi 5 using ExecuTorch](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3)
- [ExecuTorch examples](https://github.com/pytorch/executorch/blob/main/examples/README.md)

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[Back to all learning paths under Embedded and Microcontrollers](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/)