Serverless Architecture - Microsoft Cloud Workshop (40535)

40535: Microsoft Cloud Workshop: Serverless Architecture Certification Training Course Overview

40535: Microsoft Cloud Workshop: Serverless Architecture training course is designed to learn how to Setup and configure a serverless architecture within Azure using a combination of Azure Functions, Logic Apps, Event Grid, Cosmos DB, and Azure Storage. In this training class, you will also learn removing server management from the equation, breaking down the solution into smaller components that are individually scalable, and allowing the customer to only pay for what they use.

Target Audience:

This training class is recommended 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.

Serverless Architecture - Microsoft Cloud Workshop (40535) (Duration : 8 Hours) Download Course Contents

Live Virtual Classroom
Group Training 550
08 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
06 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)
04 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training (GTR) 650
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
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Course Modules

Module 1: Whiteboard Design Session - Serverless Architecture
  • Review the customer case study
  • Design a proof of concept solution
  • Present the solution
Module 2: Hands-On lab - Serverless Architecture
  • Azure data, storage, and serverless environment setup
  • Develop and publish the photo processing and data export functions
  • Create functions in the portal
  • Monitor your functions with Application Insights
  • Explore your data in Azure Cosmos DB
  • Create the data export workflow
  • Configure continuous deployment for your Function App
  • Rerun the workflow and verify data export
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Course Prerequisites
  • Basic Computer Knowledge.
  • Use a series of Azure Functions that independently scale and break down business logic into discrete components.
  • Use computer vision algorithms within an Azure Function to accurately detect license plates in car images at scale.
  • Provision and use Cosmos DB as a highly available NoSQL data store for processed data.
  • Create a Logic App that contains a workflow to export processed license plates and conditionally send alerts based on successful or unsuccessful operation.
  • Use App Insights to monitor the serverless topology, observing how well the solution scales when under load.
  • Implement a Continuous Deployment DevOps process to automatically publish changes to Function Apps.

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