AZ-220 Exam Preparation: Microsoft Azure IoT Developer (Preview)

DifficultyIntermediate
AVG Duration5h
Students26
Ratings
5/5
starstarstarstarstar
Content
62

Description

This learning path is designed to help you prepare for the AZ-220 Microsoft Azure IoT Developer exam. Candidates who pass the AZ-220 exam will earn the Microsoft Certified Azure IoT Developer Specialty certification. 

Learning Objectives

  • Set up an IoT solution infrastructure
  • Provision and manage devices
  • Implement IoT Edge
  • Implement business integration
  • Process and manage data
  • Monitor, troubleshoot, and optimize IoT solutions
  • Implement security

Intended Audience

  • People who want to become Azure IoT developers
  • People preparing for Microsoft’s AZ-220 exam

Prerequisites

  • Software development experience
  • Microsoft Azure experience

This learning path contains open-source content that has been provided by Microsoft Learn under the Creative Commons public license, which can be accessed here. This open-source content, which can be accessed here, is subject to copyright.

Certificate

Your certificate for this learning path
lock

Training Content

1
Course - Intermediate - 28m
Connecting Your Physical Environment to a Digital World - A Roadmap to IoT Solutioning
This course explores the internet of things in general, as well as Azure's IoT offerings, and then looks at how they can be used in the real world to add value to organizations.
2
Course - Intermediate - 49m
Deciphering Data - Optimizing Data Communication to Maximize Your ROI
This course focuses on data acquisition, data ingestion, and the data processing aspect of IoT solutions to maximize value from data.
3
Hands-on Lab - Beginner - 1h
Understanding Data Events using Azure Event Hubs
Understand data events by sending and receiving events using Azure Event Hubs in this hands-on lab.
4
Course - Intermediate - 44m
Adding Intelligence - Unlocking New Insights with AI & Machine Learning
This course shows how to train a machine learning model in the cloud using the Microsoft AI Platform and deploy the model to an IoT Edge device using Azure IoT Hub.
5
Course - Intermediate - 43m
Big Data 2.0 - IoT as Your New Operational Data Source
This course covers the data that IoT systems produce, how to ingest and store IoT data, and how it can be used to provide insights and analytics.
6
Hands-on Lab - Beginner - 30m
Analyzing IoT Data Using Azure Stream Analytics
Analyze Internet of Things (IoT) sensor data using Azure Stream Analytics to identify if there have been any IoT device failures in this Lab.
7
Course - Intermediate - 54m
Configuring Health Monitoring for Azure IoT
This course will focus on the skills needed to integrate Azure Monitor and its corresponding features within IoT solutions.
8
Course - Intermediate - 45m
Strategy & Best Practices When Mapping Designs from Edge to Cloud
This course covers strategies for secure IoT device connectivity, common IoT solution architecture, and implementing artificial intelligence to support an intelligent video analytics IoT solution.
About the Author
instructor-image

Cloud Academy

Instructor
Students27
Labs3
Learning paths1

Digital skills are built at the intersection of knowledge, experience, and context. The fundamental building blocks of the training templates in our Library meet teams wherever they are along the cloud maturity curve, imparting the knowledge and experience needed to take them to the next level. Our training platform is intuitive and scalable. Most importantly, all training is easily customizable, which enables organizations to provide context and guidance for teams of any size. Teams leveraging Cloud Academy hit the ground running.