6- Week Azure Machine Learning Workshop Series

Repeats every 7 weeks every Monday until Mon Jul 14 2025 .
Monday, June 2, 2025 - 13:30

Dive into the world of Azure Machine Learning (Azure ML) with our comprehensive 6-session workshop series. Designed for both beginners and intermediate users, this hands-on program will equip you with the skills to harness Azure ML for building, training, and deploying machine learning models.

 

 

Workshop Details
  • When: Every Monday starting June 2nd, 2025, there are two session times available. If interested, please select one only. You must commit to attending all six weeks at the same allocated time in order to receive a certificate.
  • Times: 1:30 pm and/or 3:00 pm (please note that the registration will open on Sunday, June 1st at 8:00 pm)
  • Where: Windsor University Advanced Computing Hub 300 Ouellette
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Session Highlights

Session 1: Introduction to Azure Machine Learning
Discover the Azure ML ecosystem, its key features, and tools for managing machine learning workflows.

Session 2: Setting Up and Starting Your First Project
Learn to set up your Azure ML workspace and initiate your first ML experiment.

Session 3: Data Preparation and Management
Master importing, cleaning, and managing data efficiently using Azure ML tools.

Session 4: Building and Training Models
Dive deep into the model development lifecycle, training, and experiment tracking.

Session 5: Model Deployment and Management
Learn how to deploy models as web services, monitor performance, and manage scalability.

Session 6: Reflection/Feedback

This workshop series is designed to combine theoretical knowledge with practical application, empowering participants to create impactful ML solutions using Azure ML. Don’t miss this opportunity to upgrade your skills and transform your career.

 

Register Here for the 1:30 pm workshop series 

Register Here for the 3:00 pm workshop series

MAC Students - To receive seminar points, you must attend all 6 weeks. If you miss one week, you will not get any points.