AZ-220 Microsoft Azure IoT Developer

Course code: AZ220P

This course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution.

950 EUR

1 150 EUR including VAT

The earliest date from 10.10.2022

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Course dates

Starting date: 10.10.2022

Type: Virtual

Course duration: 4 days

Language: cz

Price without VAT: 950 EUR

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Starting date: 17.10.2022

Type: Virtual

Course duration: 4 days

Language: en

Price without VAT: 950 EUR

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Starting date: 07.11.2022

Type: Virtual

Course duration: 4 days

Language: cz

Price without VAT: 950 EUR

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Starting date: 21.11.2022

Type: Virtual

Course duration: 4 days

Language: en

Price without VAT: 950 EUR

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Starting date: 12.12.2022

Type: Virtual

Course duration: 4 days

Language: cz

Price without VAT: 950 EUR

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Starting date: Individual

Type: Individual

Course duration: 4 days

Language: cz

Price without VAT: 950 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
10.10.2022 Virtual 4 days cz 950 EUR Register
17.10.2022 Virtual 4 days en 950 EUR Register
07.11.2022 Virtual 4 days cz 950 EUR Register
21.11.2022 Virtual 4 days en 950 EUR Register
12.12.2022 Virtual 4 days cz 950 EUR Register
Individual Individual 4 days cz 950 EUR Register
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Course description

This 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.

Course structure

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.

  • Business Opportunities for IoT
  • Introduction to IoT Solution Architecture
  • IoT Hardware and Cloud Services
  • Lab Scenarios for this Course

Lab : Getting Started with Azure, Setting 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.

  • IoT Hub and Devices
  • IoT Developer Tools
  • Device Configuration and Communication

Lab : Setup the Development Environment, 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.

  • Device Provisioning Service Terms and Concepts
  • Configure and Manage the Device Provisioning Service
  • Device Provisioning Tasks

Lab : Individual Enrollment of Devices in DPS, 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.

  • Messages and Message Processing
  • Data Storage Options
  • Azure Stream Analytics

Lab : Device Message Routing, 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.

  • Business Integration for IoT Solutions
  • Data Visualization with Time Series Insights
  • Data Visualization with Power BI

Lab : Integrate IoT Hub with Event Grid, 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.

  • Introduction to Azure IoT Edge
  • Edge Deployment Process
  • Edge Gateway Devices

Lab : Introduction to IoT Edge, 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.

  • Develop Custom Edge Modules
  • Offline and Local Storage

Lab : Develop, Deploy, and Debug a Custom Module on Azure IoT Edge, 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.

  • 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, 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.

  • Monitoring and Logging
  • Troubleshooting

Lab : Configure Metrics and Logs in Azure IoT Hub, 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.

  • 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 configure and 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 establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

  • Introduction to IoT Central
  • Create and Manage Device Templates
  • Manage Devices in Azure IoT Central

Lab : Get Started with Azure IoT Central, Implementing IoT Solutions with Azure IoT Central

Prerequisites

  • Cloud Solution Awareness: Students should have experience using the Azure Portal and a basic understanding of PaaS, SaaS, and IaaS implementations.
  • 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 a recommended but not required.

If you are new to Azure and cloud computing consider taking the AZ-900: Azure Fundamentals course.

Do you need advice or a tailor-made course?

daniel

Daniel Šťastný

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