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LearnAI_Azure_ML

This repository contains training material related to Azure and Machine Learning

Introduction

Welcome to the LearnAI training on Azure Machine Learning (AML) service.

The material presented here is a deep-dive which combine real-world data science scenarios with many different technologies including Azure Databricks (ADB), Azure Machine Learning (AML) Services and Azure DevOps, with the goal of creating, deploying and maintaining end-to-end data science and AI solutions.

Use-Cases

We have two use-cases or scenarios

1. Anomaly Detection in structured data

2. Anomaly Detection in unstructured data

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.

Agendas

Please go to this page to find alternative agendas around the above use-cases.

References

Pre-requisites

Knowledge/Skills

You will need this basic knowledge:

  1. Basic data science and machine learning concepts.
  2. Moderate skills in coding with Python and machine learning using Python.
  3. Familiarity with Jupyter Notebooks and/or Databricks Notebooks.
  4. Familiarity with Azure databricks.
  5. Basic skills using Git version control.

If you do not have any of the above pre-requisites, please find below links:

  1. To Watch: Data Science for Beginners
  2. To Watch: Get Started with Azure Machine Learning
  3. To Watch: Python for Data Science: Introduction
  4. To Watch: Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  5. To Do: Go to [https://notebooks.azure.com/] and create and run a Jupyter notebook with Python
  6. To Watch: Azure Databricks: A brief introduction
  7. To Read (10 mins): Git Handbook

Infrastructure

  1. An Azure Subscription (unless provided to you).
  2. If you are not provided with a managed lab environment (course invitation will specify), then follow these instructions for configuring your development environment prior to the course or if you do it on your own. You will need an Azure Subscription (unless one is provided to you).

Contribute

We invite everybody to contribute.