Azure Machine Learning Fundamentals

An introductory deep-dive into building predictive models on the Microsoft cloud

Date: August 4, 2022  |  Time: 1:00pm - 3:00pm ET |  Format: Online Session

Harness the power of data science with an introductory deep dive into machine learning on the Microsoft cloud. In two hours, we will provide a technical overview of Azure Machine Learning studio and demo different ways to build and deploy predictive models.

Azure Machine Learning Fundamentals

Azure Machine Learning offers a collaborative workspace for training, deploying, and managing predictive models on the cloud. Learn how data scientists and data engineers use this platform to build customized business solutions.


Session Agenda

We will provide an overview of the Azure Machine Learning studio as well as three different, live demos:

  • Demo 1: Train a no-code regression model using the drag-and-drop Designer
  • Demo 2: Identify and interpret the best model using automated machine learning
  • Demo 3: Use Jupyter Notebooks to build a repeatable machine learning pipeline that can process data, train a model, and score batched data

This webinar is designed for a technical audience already familiar with the basics of cloud computing and machine learning methods. Some demos will heavily feature Python, which is helpful to have an understanding of in order to follow along.

A webinar recording and resources to the hands-on labs will be shared with all attendees following the event.



Nick Miller, Senior Data Scientist
NickMiller_CircleNick is a Senior Data Scientist at BlueGranite with over 20 years of experience as a Navy logistics officer, high-tech manufacturing systems analyst, and supply chain analytics consultant. A life-long learner, he incorporates the latest trends in Supply Chain AI and leverages an MBA and Master of Science in Statistics to create innovative solutions that provide high business value.



Michael Zerman, Solution Architect
Michael is a Solution Architect at BlueGranite who has hands-on experience delivering solutions that specialize in big data, cloud, machine learning and data & analytics platforms since 2010. Michael has extensive project and program management experience and enjoys assignments that specialize in solution development, design, and delivery. He most recently completed a Master of Applied Data Science from the University of Michigan. His past experience helps him to bring a unique and valued perspective to this role.

Microsoft Public Sector Notice

Notice to all public sector or state-owned entity employees - Federal (including Military), State, Local, and Public Education.

This is a Microsoft partner event. Should items of value (e.g. promotional items) be disbursed to event participants, these items will be available at no charge to attendees. Please check with your ethics policies before accepting items of value.


  • Understand the benefits and applications of ML on the cloud
  • Know the key artifacts within Azure Machine Learning studio
  • Learn different ways to train and deploy a machine learning model, including, drag-and-drop designer, automated machine learning, and Jupyter Notebooks

 SESSION Details

  • August 4, 2022 at 1:00pm to 3:00pm ET
  • Webinar session hosted via GoToWebinar, available on PC, smart phone, or tablet devices