Microsoft Fabric is becoming the one-stop shop for data in Azure, including machine learning and AI. Fabric’s maturity is starting to enable real projects with its machine learning and AI capabilities. As with many other aspects of Fabric, there are also new libraries and tools for machine learning and AI. These might be different, especially for those coming from Azure ML.

The session will cover:

• Basic and AutoML machine learning.
• Hyperparameter tuning.
• OpenAI/GenAI with Azure AI Foundry.
• MLOps, including model tracking, model repository, and model serving.
• Comparing AzureML, Azure OpenAI Studio, Azure AI Foundry to Fabric AI/ML capabilities?
• Fabric Workspace layout, capacities, and costs.

Attendees will leave with practical insights into using AutoML, hyperparameter tuning, and MLOps within Fabric, along with how OpenAI and Azure AI Foundry fit into the ecosystem. We’ll also discuss how Azure ML and Azure OpenAI Studio remains relevant and how to navigate Fabric’s workspace, capacities, and associated costs to maximize your project’s efficiency and potential.