In this workshop, you will learn how to evaluate Microsoft’s catalog of PaaS and SaaS-based IoT products to determine the optimal combination of tools to fulfill Fabrikam’s needs. You will design and implement a solution that simplifies IoT device management and reporting, providing Fabrikam with a faster path to realizing their IoT strategy without requiring a lot of custom development. Next, you will learn how to deploy a trained predictive maintenance Machine Learning model and design a stream processing pipeline that makes predictions with the model in near real-time. At the end of this pipeline is an alert that is sent to the oil pump maintenance team when a pump failure is imminent
Prerequisites
Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.
Intended Audience
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the āAbout this Courseā and āAt Course Completionā areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Why The DataTech Labs ?
Self-Paced Online Video
A 360-degree learning approach that you can adapt to your learning style
A 360-degree learning
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance
24/7 Teaching Assistance
Keep engaged with integrated teaching
Online Practice Labs
Projects provide you with sample work to show prospective employers.
Applied Projects
Real-world projects relevant to what youāre learning throughout the program
Learner Social Forums
A support team focused on helping you succeed alongside a peer community
Skill Covered
After completing this course, students will be able to:
Ā Ā Design an IoT-based predictive maintenance solution in Azure.