Fine-Tuning AI Models - Interactive Simulation

Azure AI Foundry Fine-Tuning Workflow

Step 1 of 6

Create Fine-Tuning Job

Navigate to Azure AI Foundry and start a new fine-tuning job

Select Base Model

Choose the foundation model to fine-tune

Configure Training

Set training parameters and upload data

Review & Submit

Review configuration and submit the training job

Monitor Training

Track training progress and metrics

Deploy Model

Deploy and test your fine-tuned model

Step 1: Create Fine-Tuning Job

Navigate to Azure AI Foundry and initiate a new fine-tuning job for your model.

What you'll see in Azure AI Foundry:

Navigate to the Model Catalog section
Click on "Fine-tuning" in the left navigation
Select "+ Create fine-tuning job" button
You'll see the job creation wizard interface

Azure AI Foundry Interface

Click "View Screenshot" to see the actual Azure interface for this step

Key Interface Elements to Notice

Left Navigation: Model Catalog, Fine-tuning, Deployments
Main Content Area: Job creation wizard and configuration options
Action Buttons: Create, Cancel, and navigation controls
Breadcrumb Navigation: Shows your current location in the portal

Azure AI Foundry Guide

About Azure AI Foundry

Azure AI Foundry is Microsoft's comprehensive platform for building, training, and deploying AI models. The fine-tuning feature allows you to customize foundation models for your specific use cases.

Navigation Tips

The left navigation panel is your main way to move between different Azure AI Foundry features. Key sections include Model Catalog, Fine-tuning, Deployments, and Monitoring.

Learning Objective

By following these steps, you'll become familiar with the Azure AI Foundry interface and understand how to navigate the fine-tuning workflow.

Interface Checklist