> ## Documentation Index > Fetch the complete documentation index at: https://docs.aieev.com/llms.txt > Use this file to discover all available pages before exploring further. # Quickstart A quickstart guide for new AirCloud users. In AirCloud, you first create an Organization and Project, then start your AI workload using either Air API or Air Container. ## Before you start Before using AirCloud, complete sign-up and onboarding. ### 1. Select Get Started and choose a service On the AirCloud homepage, click **Get Started**. In the service selection step, you can choose either **Run AI workloads** or **Provide resources**. Get Started and service selection * If you want to use the cloud, select **Go to User Dashboard** to move to the cloud console. * If you want to register resources as an AirCloud provider, **Join the Waitlist** and we will contact you in order. * If you want to try Air API, you can browse available models in the **AI Model** tab. Models available via Air API will be continuously updated. See [Supported Models](https://docs.aieev.com/models/) for the latest information. ### 2. Sign up and sign in You can sign up using email or social login. Login Kor The currently supported sign-up methods are: * Email * GitHub If you have issues signing up or logging in, request help via [**Contact Support**.](https://www.aieev.com/contact) ### 3. Complete onboarding AirCloud onboarding consists of the following three steps: 1. **Create an Organization** An Organization name can represent a company, lab, or project. You can also add collaborators to an Organization. Onboarding - Create organization **Once you create or join an organization, you cannot be invited to another organization.** If you need to change your organization, please [contact us](https://www.aieev.com/contact). 2. **Create a Project** A Project can represent a service you are building or a development effort. You can create multiple endpoints within a single Project. Create a project 3. **Add credit** *(optional)* After completing onboarding, go to the console to follow the first-time guide and start using the service. Add credit ## Choose your starting path You can start with either of the following options: Create an API workload in your Project, select a supported model, issue an API key, and test immediately. You can also test directly in the Playground. Deploy your own container image and configure resources and autoscaling to build a production-ready environment.