Begin your journey to becoming a machine learning engineer on the Microsoft Azure platform!
Thanks to a mixture of both theoretical and practical content, you'll be guided through the essential components necessary to start building your own machine learning solutions on Microsoft Azure.
You'll learn how to use Azure Machine Learning Studio, a service that takes all the heavy lifting out of training and deploying machine learning models, allowing you to create solutions using a simple drag-and-drop interface. We'll also explore the Azure Databricks service, which you will use to process large amounts of data and make predictions based on that data through a machine learning model.
The Azure Machine Learning SDK allows you to design and manage machine learning workflows using Python to ingest and prepare data, and then train and deploy machine learning models using the data. After learning about this service you'll try your hand at building ML pipelines yourself.
Exams and a lab challenge will test your understanding of machine learning in Azure, and evaluate if you are ready to begin your career as a machine learning engineer.
Machine learning is a notoriously complex subject, so we've designed this range of content in a way that eases you into the topics slowly, and then gives you the practical experience necessary to build your own solutions with confidence. If you're ready to take the first step into machine learning, hit the Start Training Plan button below!