Tutorials

Hands-on, end-to-end guides for completing real tasks on DKubeX. Where the Applications section explains what each component does, the tutorials show you how to put those components together to finish a concrete piece of work — from governing model access to training a model or building and hosting an app.

The tutorials are grouped into four categories so you can jump straight to the kind of work you’re doing:

• Governing LLM Access — configure providers, issue API keys, and enforce guardrails with SecureLLM.

• LLMs and RAG — deploy models and build retrieval-augmented applications on top of them.

• MLOps — train and deploy your own machine learning models.

• Coding Agents — set up AI coding agents in the Workspace and use them to build and host apps.

Contents

Tutorial Categories

• Governing LLM Access
  • Configuring and Enabling AI Providers in SecureLLM
  • Creating and Using API Keys in SecureLLM
  • Test and Deploy a Guardrail Policy in SecureLLM
• LLMs and RAG
  • Deploying Models on DKubeX Using Model Studio
  • Building a Legal Contract Q&A Assistant on DKubeX
• MLOps
  • Training and Deploying an ML Model on DKubeX
• Coding Agents
  • Using Claude Code in DKubeX Workspace with a Claude Subscription
  • Using Claude Code in DKubeX Workspace with DKubeX or Cloud Provider Models
  • Building and Hosting an App in DKubeX Workspace with a Coding Agent

How to Use These Tutorials

• Choose a tutorial based on the workflow you want to complete.

• Follow the prerequisites before starting any steps.

• Execute each step in order to validate the expected outcome.

• Use troubleshooting sections when behavior differs from expected results.

Each tutorial is written to be practical, task-focused, and easy to apply in day-to-day DKubeX operations.