# Tutorials

This section contains helpful tutorials that assist users to become familiar with the Qualcomm® AI Engine Direct workflow,
and to be able to interact with Qualcomm® AI Engine Direct API and tools to enable their deep learning based use-cases.

## Getting Started

- Tutorial: Executing your model on your target device
- Using the Sample App: Compile and run an app that uses your model
- Writing Your Own Sample App Tutorial: Create your own C++ application
- Saver Tutorial: Save execution sequence with Saver and replay on a backend

## Advanced

- QNN HTP Shared Buffer Tutorial
- Executing with DLCs

## Custom Operators

- Executing a shallow model using custom op package
- Converting and executing a CNN model with custom operations

## Windows

- Windows Hibernation Tutorial
- ARM64X Tutorial
- Windows HTP Library Loading Tutorial
- Windows Error Reporting

## Migrating

- Migrating from Hexagon-nn to QNN

## LoRA (Low Rank Adaptation)

- LoRA Introduction
- LoRA v2
- LoRA v3

    - LoRA v3 Optimizations

Last Published: Oct 10, 2025

Previous Topic
 
HTP data movement ops Next Topic

Tutorial: Converting and executing a CNN model with QNN