A quick comparison by ChatGPT
Bottom line:
- Use Azure AI Foundry if you need pre-trained foundation models & AI agent development
- Use Azure ML Studio if you want to train custom ML models from scratch
- Use Azure AI Studio if you want to fine-tune pre-trained AI models for applications
| Feature | Azure AI Foundry | Azure ML Studio | Azure AI Studio |
|---|---|---|---|
| Use Case | AI application development | ML model training & deployment | AI model fine-tuning & deployment |
| Target Audience | Developers, enterprises | Data scientists, ML engineers | Developers, data scientists |
| Custom Models? | No (uses pre-trained models) | Yes (train from scratch) | Yes (fine-tuning) |
| Foundation Models? | Yes (OpenAI, Meta, etc.) | No (builds custom models) | Yes (GPT, DALL-E, etc.) |
| Low-Code Support? | Yes | Yes (AutoML, drag-drop UI) | Yes |
| Governance & Security? | High | High | Moderate |
| Best For | AI-powered applications | Predictive ML analytics | AI model fine-tuning |
Get Started
- https://ai.azure.com/ –> Sign in –> Create a new project.
Learning resources
- Azure AI Foundry documentation
- The ULR is actually “ai-studio”. Hence I think it is just an upgrade of Azure AI Studio.
- The next wave of Azure innovation: Azure AI Foundry