40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training Course Overview

Multisoft Systems is a globally acknowledged name in the world of 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training. This course aims in teaching the process of implementing a modern application with Azure services. We are an accredited training company of Microsoft and associated with Microsoft-certified Cloud Computing trainers. These trainers make use of real-life examples and module-wise assessments to help the participants learn.

Our offered course imparts the skills required for data preparation, data loading, data transformation, data serving, anomaly detection, creation of a predictive maintenance model, and real-time scoring of a predictive maintenance model. You will become a master of accessing a Cosmos DB change feed, deploying the model to an Azure Container Instance, and processing device data with Azure Stream Analytics..

In its successful completion, you will learn:
  • How to deploy the model to an Azure Machine Learning model registry?
  • How to deploy the model to an Azure Container Instance?
  • How to capture IoT device data with Azure IoT Hub?
  • How to generate predictions with Azure Functions accessing a Cosmos DB change feed?
  • How to process device data with Azure Stream Analytics?
  • How to build a predictive maintenance model using Azure Synapse Analytics Spark notebooks?
  • How to modernize applications and integrate Artificial Intelligence into the application?
  • How to apply the Command and Query Responsibility Segregation (CQRS) pattern with Azure Functions?
Target audience
  • Cloud Architects who want to learn more about Azure and Azure services IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies
Prerequisites
  • This 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training demands the Microsoft Azure Essentials course as a formal prerequisite. To pursue this course, IT professionals should have architectural expertise in infrastructure and solutions design in cloud technologies.
Certification
  • Multisoft Systems will provide you with a training completion certificate after completing the 40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training.

Instructor-led Training Live Online Classes

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40577-G: Microsoft Cloud Workshop: Innovate and modernize apps with Data and AI Training Course Content

Module 1: Whiteboard Design Session - Innovate and modernize apps with Data and AI

  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution

Module 2: Hands-On Lab - Innovate and modernize apps with Data and AI

  • Deploy a factory load simulator
  • Use Azure Machine Learning to train and register a predictive maintenance model
  • Create an Azure Function to send event telemetry to Cosmos DB
  • Enrich event telemetry with predictive maintenance results
  • Enrich event telemetry with automated anomaly detection
  • Send scored telemetry data to PostgreSQL
  • Modernize services logic to use event sourcing and CQRS
  • View the factory status in a Power BI report
     

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40577-G:Microsoft Cloud Workshop Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

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  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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40577-G:Microsoft Cloud Workshop Corporate Training

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