Azure Ai Ml Py
Helps with Azure, AI, machine learning as part of deploying and managing cloud infrastructure workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add azure-ai-ml-py npx -- -y @trustedskills/azure-ai-ml-py
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"azure-ai-ml-py": {
"command": "npx",
"args": [
"-y",
"@trustedskills/azure-ai-ml-py"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to interact with Azure Machine Learning using Python. It enables tasks like submitting training jobs, deploying models as endpoints, and managing datasets within an Azure ML workspace. The agent can leverage existing Python scripts or generate new ones for these operations, streamlining machine learning workflows.
When to use it
- Automated Model Training: Schedule and execute model training runs in Azure Machine Learning based on data updates or performance metrics.
- Model Deployment & Management: Deploy trained models as real-time endpoints within Azure ML and manage their versions.
- Data Exploration & Preparation: Create, register, and query datasets stored in an Azure ML workspace for machine learning projects.
- Workflow Orchestration: Automate complex machine learning pipelines involving data preprocessing, training, evaluation, and deployment steps.
Key capabilities
- Submit training jobs using Python scripts.
- Deploy models as endpoints.
- Manage datasets within an Azure Machine Learning workspace.
- Interact with existing Python code for ML tasks.
Example prompts
- "Run the
train_model.pyscript in my Azure ML workspace." - "Deploy the model
my_best_modelas a real-time endpoint." - "Register this CSV file as a dataset named 'customer_data' in my Azure ML workspace."
Tips & gotchas
- Requires an active Azure subscription and access to an Azure Machine Learning workspace.
- The agent needs appropriate permissions within the Azure ML workspace to perform actions like submitting jobs or deploying models.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.