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Azure with Machine Learning Workshop

Welcome to the Azure with Machine Learning workshop! This repository contains the code and instructions for an interactive coding session focused on cloud-native development on Azure, serverless functions, and machine learning.

Project Overview

In this project, you'll create a serverless Azure function that integrates with a machine learning model. The function will accept an image upload and return information about the image, such as age and emotions.

finalResult.JPG

Prerequisites

Before you begin, ensure you have the following:

Find a Team

  • This is a Team Exercise. Form Groups of 2-3 students.

Azure Account

Tools and Software

Automatic Setup

  • If you have nix installed, use the flake: from project-root run nix develop. Everything will be set up for you. You can use the setup.sh script to install nix.

Alternatively

Getting Started

Follow these steps to set up and run the project:

  1. Login to Azure
  • Open the terminal in Visual Studio Code and run:
    az login
  • This will open a browser window for you to log in.
  1. Set Up the Project
  • Clone this repository and navigate to the project directory.
  • Open the folder starting with 01 in Visual Studio Code.
  • Follow the instructions in the subsequent folders (02, 03, etc.).

Troubleshooting

If you encounter any issues, please reach out to us for assistance. We're here to help you succeed!