Machine Learning / Data Science DevOps

• Deploying R Models as batch jobs or containerized web services on Azure (link):
  1. Getting Started
     • Part 1 - Prerequisites, Big Picture, Azure Subscription & Model Training
  2. Deployment Option 1 - Batch Processing
     • Part 2 - Azure Databricks & Parameterized Notebooks for Inference
     • Part 3 - Azure Data Factory Pipelines
     • Part 4 - CI for Databricks
     • Part 5 - CD for Databricks and ADF
  3. Deployment Option 2 - Request/Response
     • Part 6 - Creating Request/Response Web Service for R Model
     • Part 7 - Containerizing R Web Service
     • Part 8 - CI for Container Deployment - Part 9 - CD for Container Deployment

Speech

• [Python] Sample App, Speech to Text using Azure Cognitive Services (link)

Computer Vision

• [Python] Sample App, Async Blob Storage to Custom Vision Service image uploader and tagger (link)

Web

• [Python] Sample App, Flask Web App using Azure Active Directory authentication (link)