Enterprise Skills InitiativeAzure Apps, Infra, Data & AIMicrosoft Azure IoT Developer (AZ-220)
Microsoft Azure IoT Developer (AZ-220)
Description
This AZ-220 Microsoft Azure IoT Developer course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security concerns, and Azure IoT Central.
Skills Covered
Audience Profile
Course Outline
Skills Covered
- Create, configure, and manage an Azure IoT hub.
- Provision devices by using IoT Hub and DPS, including provisioning at scale.
- Establish secure 2-way communication between devices and IoT Hub.
Audience Profile
Software Development Experience: Software development experience is a prerequisite for this course, but no specific software language is required, and the experience does not need to be at a professional level.
Data Processing Experience: General understanding of data storage and data processing is recommended but not required.
Cloud Solution Awareness: Students should have a basic understanding of PaaS, SaaS, and IaaS implementations. Microsoft Azure Fundamentals (AZ-900), or equivalent skills, is recommended.
Course Outline
Module 1: Introduction to IoT and Azure IoT Services
In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and provides an introduction to the Azure portal.
Lessons
- Business Opportunities for IoT
- Introduction to IoT Solution Architecture
- IoT Hardware and Cloud Services
- Lab Scenarios for this Course
Lab: Getting Started with Azure
Lab: Getting Started with Azure IoT Services
Module 2: Devices and Device Communication
In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.
Lessons
- IoT Hub and Devices
- IoT Developer Tools
- Device Configuration and Communication
Lab: Setup the Development Environment
Lab: Connect IoT Device to Azure
Module 3: Device Provisioning at Scale
In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto-provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.
Lessons
- Device Provisioning Service Terms and Concepts
- Configure and Manage the Device Provisioning Service
- Device Provisioning Tasks
Lab: Individual Enrollment of Devices in DPS
Lab: Automatic Enrollment of Devices in DPS
Module 4: Message Processing and Analytics
In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.
Lessons
- Messages and Message Processing
- Data Storage Options
- Azure Stream Analytics
Lab: Device Message Routing
Lab: Filtering and Aggregating Message Data
Module 5: Insights and Business Integration
In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.
Lessons
- Business Integration for IoT Solutions
- Data Visualization with Time Series Insights
- Data Visualization with Power BI
Lab: Integrate IoT Hub with Event Grid
Lab: Explore and Analyze Time Stamped Data with Time Series Insights
Module 6: Azure IoT Edge Deployment Process
In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.
Lessons
- Introduction to Azure IoT Edge
- Edge Deployment Process
- Edge Gateway Devices
Lab: Introduction to IoT Edge
Lab: Set Up an IoT Edge Gateway
Module 7: Azure IoT Edge Modules and Containers
In this module, students will develop and deploy custom edge modules and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.
Lessons
- Develop Custom Edge Modules
- Offline and Local Storage
Lab: Develop, Deploy, and Debug a Custom Module on Azure IoT Edge
Lab: Run an IoT Edge Device in Restricted Network and Offline
Module 8: Device Management
In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.
Lessons
- Introduction to IoT Device Management
- Manage IoT and IoT Edge Devices
- Device Management at Scale
Lab: Remotely Monitor and Control Devices with Azure IoT Hub
Lab: Automatic Device Management
Module 9: Solution Testing, Diagnostics, and Logging
In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.
Lessons
- Monitoring and Logging
- Troubleshooting
Lab: Configure Metrics and Logs in Azure IoT Hub
Lab: Monitor and Debug Connection Failures
Module 10: Azure Security Center and IoT Security Considerations
In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Azure Security Center for IoT supports device deployment and IoT Hub integration. Students then use Azure Security Center for IoT Agents to enhance the security of their solution.
Lessons
- Security Fundamentals for IoT Solutions
- Introduction to Azure Security Center for IoT
- Enhance Protection with Azure Security Center for IoT Agents
Lab: Implementing Azure Security Center for IoT
Module 11: Build an IoT Solution with IoT Central
In this module, students will learn how to configure and to implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establishes, students will move on to creating and managing device templates and then managing devices in their IoT Central application.
Lessons
- Introduction to IoT Central
- Create and Manage Device Templates
- Manage Devices in Azure IoT Central
Lab: Get Started with Azure IoT Central
Lab: Implementing IoT Solutions with Azure IoT Central
Course types
Classroom: In-Person
Full-day instructor-led training delivered in the classroom (public) or at your offices (private). Training takes place Monday through Friday. Includes complete course coverage.
Classroom: Virtual
Virtual instructor-led training delivered online. Training takes place in the form of sessions between Monday and Friday. Includes complete course coverage.
Hybrid: In-Person or Virtual
A combination of online study and 2-days virtual or classroom live-based exam prep workshops. These courses are delivered in a blended format, consisting of 4-6 weeks self-study, plus full 2-days instructor-led workshops per person per exam.
Live-Virtual (MyDigicomp)
The live virtual course is scheduled over a period of 3-4 weeks. During this time 6-8 instructor-led contact sessions of 3 hours each take place. This time is indicated on the respective course as 3-4 days. When you click on “Timetable” during the booking process, you will already see when the next live sessions will take place. Of course, these sessions are recorded and made available to students at the end of the course. During these 3-4 weeks, students will always have direct access to the expert instructor and can ask questions if something is not clear during self-study. We call this aspect mentoring. Everything takes place on one Microsoft Team channel per class. During this time students will have access to all sessions and information within the class. After those 3-4 weeks, students receive and additional week to prepare and then take the test, either in-class or at home.
Course Type
Virtual or In-Person
Online course delivery format focuses on exam prep and is delivered in a very condensed format. Candidates are required to complete pre-course material before attending the instructor-led online sessions.
Price
$250-600
Prices based on the country in which the course is hosted.
Exam
Included (AZ-220)
For more information:
Enterprise Skills Initiative Support
Lizelle van Niekerk
lizelle@thellpa.com
Online registrations can take up to 7 days to process. Please be aware that if you book for a course on a Friday for a class that starts on the following Monday it cannot be processed and will result in your registration being allocated to another date automatically. We suggest booking for courses well in advance.
No dates for your country? E-mail esi@thellpa.com and send in your request.