Microsoft Azure in Manufacturing
Format: Blended (meets face-to-face and online)
Dates: October 3-November 11, 2022 (enrollment closed)
Tuition: $2,500
Description
This 6-week course provides the basics for using Microsoft Azure in advanced manufacturing solutions. Learners should come to the pathway with a basic understanding of IIoT and connected systems. A background in Azure is not necessary.
Audience
Operations managers, factory operators, and industrial engineers
Schedule
This course meets both in-person and online. Each week you’ll have online access to full learning modules containing lectures, labs, discussions, and knowledge checks. You can expect that each weekly module will require about 4 hours to complete, including online and face-to-face learning. The six modules, taught by UWM faculty and industry leaders, include:
- October 3 – 7 (fully online): Drive AI Strategy: How to use AI strategy in your business
- October 10 – 14 (online and on-site lab): Build Commercial-Ready Industrial IoT Application
- October 17 – 21 (online and on-site lab): Quality Detection Using Vision: Predictive maintenance using vision-based system
- October 23 – 28 (fully online): Quality Detection Using Audio: Predictive maintenance using audio-based system
- October 21 – November 4 (online and on-site lab): Autonomous Moving Inventory: Moving inventory between warehouse and line
- November 7 – 11 (fully online): Intelligent Supply Chain: Using IoT, block chain, and AI/ML to build better supply
Can’t Attend an In-Person Session?
That’s okay! We will offer synchronous online access to each in-person session, so all enrolled learners can participate from afar. While it is ideal to attend in-person for these hands-on lessons, we realize it is not always possible. All sessions will also be recorded and posted in the course site for later viewing.
Register
Registration for fall is closed. We will offer this course again in Spring 2023.
CSI partners and members receive a 15% discount on all courses. Please contact Casey O’Brien (caseyo@uwm.edu) for the discount code.