azure-ai-fine-tuning
OfficialEnd-to-end Azure Foundry fine-tuning guide
Authormicrosoft-foundry
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a complete, hands-off pipeline to manage fine-tuning tasks on Azure AI Foundry, from data prep and validation to training, evaluation, and deployment, enabling teams to run end-to-end FT workflows with guardrails.
Core Features & Use Cases
- Dataset creation, validation, and format conversion for SFT, DPO, and RFT pipelines.
- Submitting, monitoring, and calibrating training jobs across multiple training types.
- Deployment, evaluation, and cost-aware management of fine-tuned models.
- Real-world use case: automate a full FT workflow in CI/CD to iterate efficiently on model quality and deployment readiness.
Quick Start
Instruct the agent to begin an Azure AI Foundry fine-tuning workflow end-to-end, including data prep and a mock deployment.
Dependency Matrix
Required Modules
openaiazure-identityrequestsazure-ai-projects
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: azure-ai-fine-tuning Download link: https://github.com/microsoft-foundry/fine-tuning/archive/main.zip#azure-ai-fine-tuning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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