Machine Learning Engineer for Microsoft Azure with Microsoft
Skills Covered: Azure Machine Learning, Azure Machine Learning SDK, Automation with Pipelines, Automated ML, Machine Learning Operations
ABOUT THIS NANODEGREE
The Machine Learning Engineer for Microsoft Azure course will prepare you to take on Machine Learning roles by strengthening your skills in ML and providing hands-on experience. You will learn how to validate and evaluate Machine Learning models with Microsoft Azure.
At the beginning of the course, you will focus on the basics of Machine Learning on Azure with a low-code experience. When you complete this part, you will move on to applying more advanced techniques like ensemble learning and deep learning. You will gain practical experience running sophisticated Machine Learning tasks using the built-in Azure labs. Your final project will be to use Azure’s Automated Machine Learning and HyperDrive to solve a task. Once you solve it, you will deploy your model as a web service and test the model endpoint.
The course takes around 3 months to complete. Some experience with Machine Learning, statistics, and Python is required to enroll.
According to Indeed, the average salary for an ML Engineer in the US is $146k!
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