# Tutorials for Deadline Cloud
<a name="examples-tutorials"></a>

The following tutorials cover complete workloads that you can run on Deadline Cloud. Each tutorial includes prerequisites, step-by-step instructions, parameter references, and cleanup guidance.

**Topics**
+ [FLUX.2 Klein LoRA fine-tuning and image generation](flux2-klein-lora.md)
+ [Benchmark LLMs with vLLM and lm-evaluation-harness](tutorial-vllm-leaderboard.md)
+ [Train 3D Gaussian Splatting from your own video](tutorial-gsplat-pipeline.md)
+ [Run an autonomous driving simulation sweep with CARLA](tutorial-carla-simulation.md)
+ [Fine-tune Hugging Face LLMs with LoRA and QLoRA](tutorial-hf-finetune-lora.md)
+ [Run batch LLM inference with vLLM](tutorial-vllm-batch.md)
+ [Generate images in batch with a diffusion model](tutorial-text-to-image-batch.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for AWS Deadline Cloud. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query deadline-cloud` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).