In this course, we focus on the preparation needed to begin Azure Machine Learning experiments. This course is part one of a three-part series in preparation for the DP-100 exam.
We will examine:
* An Introduction to Azure Machine Learning
* Create an Azure Machine Learning Workspace
* Manage Experiment Compute Contexts
* Design the Data Preparation Flow
* Manage Data Objects in an Azure Machine Learning Workspace
Table of contents
About the author
Brian Roehm
I am a multi cloud certified architect. I have consulted, trained, and worked with executives and IT professionals to understand, design, and implement cloud-based solutions.
At A Cloud Guru, I created compelling training to teach architects, developers, and IT professionals how to implement cutting edge technology and achieve cloud certifications. At Cerner and Lone Light Analytics, I developed cloud-based solutions in Azure and AWS and consulted with business groups and clients to manage and migrate solutions into the cloud.
In addition, I am a PMP certified project manager and adjunct professor at Mid America Nazarene University. I apply my knowledge of business strategy, project management, agile software development, and IT infrastructure to streamline business function and foster business growth. I have managed all aspects of the SDLC process and created and managed multiple project management offices.