Welcome to “Introduction to Azure Machine Learning”. My name’s Guy Hummel, and I’m a Microsoft Certified Azure Data Scientist. If you have any questions, feel free to connect with me on LinkedIn and send me a message, or send an email to support@cloudacademy.com.

This course is intended for anyone who’s interested in machine learning. I’ll be showing you how to build machine learning models with a drag-and-drop interface without writing any code.

There are no prerequisites for this course. We’ll cover the basics of machine learning, so it’s okay if you haven’t worked with machine learning before. I do recommend that you have an Azure account, though, so you can follow along with the examples in this course and do them yourself. If you don’t already have one, then you can create a free trial account.

To save you the trouble of typing in the URLs shown in this course, I’ve created a GitHub repository with a readme file that contains all of the URLs. The link to the repository is at the bottom of the course overview below.

By the end of this course, you should be able to create an Azure Machine Learning workspace, train a machine learning model using the drag-and-drop interface, and deploy a trained model to make predictions based on new data.

We’d love to get your feedback on this course, so please give it a rating when you’re finished.

Now, if you’re ready to learn how to get the most out of Azure Machine Learning, then let’s get started.