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Azure ML E2E Workshop

Target Audience

Anyone who wants a comprehensive E2E understanding of Azure ML.

Key Goals

  1. Understand the product E2E
  2. Ensure that the work we are doing in Mn will address key gaps in usability / E2E user experience
  3. Open bugs, fix docs & ensure commitments from product area leads on whether / how those bugs will be fixed

Agenda

Workspace Concepts: infra setup, ARM, workspace setup, computes, datastores, setup**

  1. Set up your workspace and compute
  2. Register a dataset
  3. Run AutoML from the UI
  4. Compute Instance - Clone Git Repo

Datasets, Model Training (AML, HyperDrive and AutoML), Model Inference**

Notebooks to run and research:

AML training, HyperDrive and Interpretability:

Automated ML:

Pipelines & Batch Inference

MLOps (model management, deployment, inference, automation)

Tutorials for MLOps

Enterprise Readiness

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AzureML Workshop for the 2019 Euro Tour

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