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ACE_Azure_ML

This repository contains training material related to Azure and Machine Learning

Alternative Agendas

Depending on how much time you have, you could follow the below proposed agendas.

We also created material for a 3h hackathon, which could be done after concluding any of the below agendas.

Creating a lab environment

Please go to this page for instructions on how to set up your lab environment. You must follow these instructions whether you are being provided with a lab account or intend to use your own.

Proposed three-day agenda

We developed this content aiming for a 3-day deep dive with the following agenda.

day 1

  1. Machine Learning on Azure - Solution Brief (PPTX Presentation)
  2. Introduction to Azure Databricks (Hands On)
  3. Feature Engineering (Hands On)
  4. Sentiment Analysis (Hands On)
  5. Hyperparameter Tuning w/ Azure Databricks (Hands On)
  6. Streaming on Azure Databricks (Hands On)

day 2

  1. Logistic Regression w/ Spark ML (Hands On)
  2. Random Forests w/ Spark ML (Hands On)
  3. Integration of ADB and AML (PPTX Presentation)
  4. Getting Started w/ AML service (Hands On)
  5. AML Model Management and ML Experimentation (Hands On)
  6. Automated ML (Hands On)
  7. Real-time scoring w/ AKS, CI/CD and DevOps (PPTX Presentation)

day 3

  1. Real-time scoring w/ AKS, CI/CD and DevOps (Hands On)
  2. CI/CD and DevOps (Hands On)
  3. Then continue with 5h on video anomaly detection

Proposed 5h agenda

For a 5h agenda, we recommend the following agenda.

  1. Introduction
  2. Feature Engineering
  3. Logistic Regression
  4. AML getting started
  5. Automated ML
  6. Deployment

About the labs

The notebooks contain many labs with varying levels of difficulty. Solutions are provided for the labs.