# Next Steps

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/)
- [Understand ONNX fundamentals and architecture](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/01_fundamentals/)
- [Set up your development environment](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/02_setup/)
- [Generate a synthetic Sudoku digit dataset](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/03_preparingdata/)
- [Train the digit recognizer](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/04_training/)
- [Run inference and evaluate the model](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/05_inference/)
- [Build the Sudoku processor pipeline](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/06_sudokuprocessor/)
- [Optimize the model for Arm64 deployment](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/07_optimisation/)
- [Deploy the model to Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/08_android/)
- [Next Steps](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/onnx/_next-steps/)

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## Continue Learning
### Read related resources
Find more information about the topics in this Learning Path:
- [ONNX](https://onnx.ai)
- [ONNX Runtime](https://onnxruntime.ai)
- [Getting Started with ONNX Runtime on Mobile](https://onnxruntime.ai/docs/tutorials/mobile)
- [Optimizing Models with ONNX Runtime](https://onnxruntime.ai/docs/performance/model-optimizations.html)

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[Back to all learning paths under Mobile, Graphics, and Gaming](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/)