Microsoft Cloud Workshop - App Modernization

COURSE OUTLINE:

Description

Modernize legacy on-prem applications and infrastructure by leveraging several cloud services, and adding a mix of web and mobile services, all secured using AAD.

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 �Course Overview� and �What You'll Learn� 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.

Prerequisites

Workshop content presumes 300-level understanding, specifically architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.� Student should have attended or have equivalent knowledge of one of the following courses: M20532, M20533, or M20535.

Learning Objectives

Students will be better able to create API Apps that can be consumed by client, mobile, and web apps. In addition,

  • Protect app secrets using Key Vault
  • Empower business users to create ad-hoc CRUD mobile apps with PowerApps
  • Centralize authorization across Azure services using AAD
  • Orchestrate between services such as Office 365 email and mobile using Flow
  • Use Search to make files full text searchable

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Module 1: Whiteboard Design Session - Big Data and Visualization Lessons

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

Module 2: Hands-On Lab - Big Data and Visualization Lessons

  • Build a Machine Learning Model
  • Setup Azure Data Factory
  • Develop a data factory pipeline for data movement
  • Operationalize ML scoring with Azure ML and Data Factory
  • Summarize data using HDInsight Spark
  • Visualizing in Power BI Desktop
  • Deploy intelligent web app

Module 1: Whiteboard Design Session - Big Data and Visualization Lessons

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

Module 2: Hands-On Lab - Big Data and Visualization Lessons

  • Build a Machine Learning Model
  • Setup Azure Data Factory
  • Develop a data factory pipeline for data movement
  • Operationalize ML scoring with Azure ML and Data Factory
  • Summarize data using HDInsight Spark
  • Visualizing in Power BI Desktop
  • Deploy intelligent web app