Azure Machine Learning Services - Industry Hackfest

Business Case Description

Predictive maintenance (PdM) is a popular application of predictive analytics that can help businesses in several industries achieve high asset utilization and savings in operational costs. This workshop provides step by steps guidance to develop and deploy PdM solutions using Microsoft Azure AI platform technology. For more detail guide around business case and data requirements please refer to Azure AI guide for predictive maintenance solutions

Prerequisites

• Active Azure Subscription

• Install Azure CLI

Excercises/Labs

• Data
  • 1-Data Pipeline Setup
• Machine Learning
  • 2-Environment Setup
  • 3-Workspace Setup
  • 4-Training
  • 5-Testing
• Operationalization
  • 6-Deployment Pipeline

Additional Resources

• Overall Strategy

  • Azure Machine Learning service strategy and direction

• Documentation

  • How does Azure Machine Learning service work
  • Model management with Azure Machine Learning
  • Experimentation using Azure Machine Learning
  • Training models using Azure Machine Learning
  • Deploy Models using Azure Machine Learning
  • MLOps on Azure

• Tutorials/SDK's

  • Getting Started Notebooks
  • Azure Machine Learning SDK for Python

• Automated Machine Learning

  • Automated ML capability in Azure Machine Learning

• FPGA and Project Brainwave

  • Deploy to FPGA on Azure

• On the Edge

  • https://github.com/Microsoft/EdgeML

  • https://github.com/Microsoft/ELL