Microsoft Azure IoT Developer Training (AZ-220)

Nivå: Intermediate

Prepare for the official Microsoft Azure IoT Developer Speciality certification exam AZ-220 in this 4-day Azure IoT developer course. 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.

Key Features of this Microsoft Azure IoT Developer Training:

  • Microsoft Official Course content
  • After-course instructor coaching benefit

You Will Learn How To:

  • 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.
  • Implement message processing by using IoT Hub routing and Azure Stream Analytics.
  • Configure the connection to Time Series Insights and support business integration requirements.
  • Implement IoT Edge scenarios using marketplace modules and various edge gateway patterns.
  • Implement IoT Edge scenarios that require developing and deploying custom modules and containers.
  • Implement device management using device twins and direct methods.
  • Implement solution monitoring, logging, and diagnostics testing.
  • Recognise and address security concerns and implement Azure Security Centre for IoT.
  • Build an IoT Solution by using Azure IoT Central and recongize SaaS opportunities for IoT.

Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals

LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 4-day instructor-led training course
  • Microsoft Official Course content
  • One-on-one after course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card

TRAINING AT YOUR SITE

Team Training

  • Bring this or any training to your organisation
  • Full - scale program development
  • Delivered when, where, and how you want it
  • Blended learning models
  • Tailored content
  • Expert team coaching

Anpassa kurs och innehåll efter teamets behov

Kontakta oss

Utveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning

Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

In Class & Live, Online Training

Note: This course runs for 4 dagar *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

  • 14 - 17 dec 9:00 - 4:30 GMT Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 8 - 11 dec 9:00 - 4:30 EST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 12 - 15 jan 9:00 - 4:30 EST Online (AnyWare) Online (AnyWare) Boka Din Kursplats

  • 9 - 12 feb 9:00 - 4:30 EST New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 9 - 12 mar 9:00 - 4:30 EST Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 13 - 16 apr 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 11 - 14 maj 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 15 - 18 jun 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

  • 13 - 16 jul 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Boka Din Kursplats

  • 17 - 20 aug 9:00 - 4:30 EDT New York / Online (AnyWare) New York / Online (AnyWare) Boka Din Kursplats

  • 14 - 17 sep 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

Kurs med startgaranti

När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.

Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

Important Microsoft Azure IoT Developer Training Information

  • Requirements

    • 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.
    • Cloud Solution Awareness: Students should have a basic understanding of PaaS, SaaS, and IaaS implementations. Dynamics 365 Fundamentals Training (MB-901), or equivalent skills, is recommended.
  • Who Should Attend This Course

    An Azure IoT Developer is responsible for implementing and then maintaining the cloud and edge portions of an Azure IoT solution. In addition to configuring and maintaining devices by using Azure IoT services and other Microsoft tools, the IoT Developer also sets up the physical devices and is responsible for maintaining the devices throughout the life cycle. The IoT Developer implements designs for IoT solutions, including device topology, connectivity, debugging and security. For Edge device scenarios, the IoT Developer also deploys compute/containers and configures device networking, which could include various edge gateway implementations. The IoT Developer implements designs for solutions to manage data pipelines, including monitoring and data transformation as it relates to IoT. The IoT Developer works with data engineers and other stakeholders to ensure successful business integration. IoT Developers should have a good understanding of Azure services, including data storage options, data analysis, data processing, and the Azure IoT PaaS versus SaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.

  • Exam Information

    This course can help you prepare for the following Microsoft role-based certification exam — AZ-220: Microsoft Azure IoT Developer

Microsoft Azure IoT Developer Training 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 : Setting Started with Azure IoT Services

    After completing this module, students will be able to:

    • Explain how IoT and Azure IoT could be applied to their business
    • Describe the core components of an Azure IoT Solution Architecture
    • Describe the Azure IoT Services and how they relate to an IoT solution
    • Create an Azure account and use the Azure portal to create an IoT Hub and DPS service
  • 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 After completing this module, students will be able to: Explain the core features of the IoT Hub services Describe the lifecycle of an Azure IoT device Describe how IoT Hub manages device identities and implements other security features Register devices with the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code Implement the IoT Hub Device and Service SDKs 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 enrolment process, auto-provisioning and re-provisioning, disenrolment, 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 Enrolment of Devices in DPS Lab : Automatic Enrolment of Devices in DPS After completing this module, students will be able to: Explain the process of device provisioning and the features of the Device Provisioning Service Explain the security considerations associated with device provisioning and how they are managed Implement the Device Provisioning Service SDKs Manage the device enrolment process, including deprovisioning and disenrolment 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

    After completing this module, students will be able to:

    • Configure message and event routing
    •  
    • Route data to the built-in and custom endpoints
    •  
    • Implement message enrichment
    •  
    • Implement Azure Stream Analytics Inputs, Queries, and Outputs
    •  
    • Store message data in a warm storage for historical purposes and additional analysis
    • Use an Azure Function within a message processing and analytics solution
  • 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 visualisation tools such as Time Series Insights and Power BI.

    Lessons

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

    Lab : Integrate IoT Hub with Event Grid

    Lab : Explore and Analyse Time Stamped Data with Time Series Insights

    After completing this module, students will be able to:

    • Explain the options for business integration within an IoT solution and how to achieve them
    • Develop business integration support using Logic Apps and Event Grid
    • Configure IoT Data for Visualisation in Time Series Insights
    • Configure IoT Data for Visualisation in Power BI
  • 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

    After completing this module, students will be able to:

    • Describe the difference between an IoT device and an IoT Edge device
    • Configure an IoT Edge device
    • Implement an IoT Edge deployment using a deployment manifest
    • Configure an IoT Edge device as a gateway device
  • 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

    After completing this module, students will be able to:

    • Explain the requirements for building a custom edge module
    • Configure Visual Studio Code for developing containerized modules
    • Deploy a custom module to an IoT Edge device
    • Implement local storage on an IoT Edge device in support of an offline scenario
  • 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

    After completing this module, students will be able to:

    • Describe the most common device management patterns and configuration best practises
    • Describe when and how to use device twins and direct methods to implement device management
    • Implement device management for various patterns using device twins and direct methods
    • Implement device management at scale using automatic device management and jobs
  • 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

    After completing this module, students will be able to:

    • Describe the options for monitoring and logging an Azure IoT solution
    • Configure Azure Monitor to support of an IoT solution
    • Configure IoT Hub Metrics to support of an IoT solution
    • Implement diagnostics logging
    • Troubleshoot IoT device connection and communication issues
  • Module 10: Azure Security Centre 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 practises, and then look at how Azure Security Centre for IoT supports device deployment and IoT Hub integration. Students then use Azure Security Centre for IoT Agents to enhance the security of their solution.

    Lessons

    Lab : Implementing Azure Security Centre for IoT

    After completing this module, students will be able to:

    • Security Fundamentals for IoT Solutions
    • Introduction to Azure Security Centre for IoT
    • Enhance Protection with Azure Security Centre for IoT Agents
      • Describe security concerns and best practises for an IoT solution
      • Describe the Azure IoT Security Architecture and Threat Modelling
      • Describe the features and support provided by Azure Security Centre for IoT
      • Configure Security Agents and Security Module Twins
      • Aggregate Azure Security Centre for IoT Events
  • 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.

    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

    After completing this module, students will be able to:

    • Describe the difference between Azure IoT Central and the Azure IoT PaaS services
    • Describe the features provided by Azure IoT Central
    • Describe the purpose and components of a Device Template
    • Create and publish a Device Template
    • Manage devices using rules and notifications
    • Mange devices at scale using jobs

Team Training

Microsoft Azure IoT Developer Training FAQs

  • Will this course help me achieve a new Microsoft Role-Based certification?

    Yes, this course prepares you for Microsoft exam AZ-220 which is the requirement for the Microsoft Associate certification - Azure IoT Developer Speciality.

Online (AnyWare)
Online (AnyWare)
Online (AnyWare)
New York / Online (AnyWare)
Ottawa / Online (AnyWare)
Herndon, VA / Online (AnyWare)
New York / Online (AnyWare)
Ottawa / Online (AnyWare)
Herndon, VA / Online (AnyWare)
New York / Online (AnyWare)
Ottawa / Online (AnyWare)
Hur föredrar du att bli kontaktad:

Please Choose a Language

Canada - English

Canada - Français