Autoryzowane szkolenia MicrosoftAZ 220T00
Microsoft Azure IoT Developer

1 490 € (excl. VAT)

Training price:

  • training,
  • training materials on SkillPipe platform,
  • lunch + coffee breaks,
  • Microsoft Certificate,
  • 14-day contact with the trainer after the training.

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Microsoft Certified Professional (MCP)

Order Microsoft Certified Professional (MCP) voucher

See details

We organise Pearson VUE exams

As Pearson VUE Authorized Test Center, we enable taking the exams provided by Perason VUE.

See details

We redeem Microsoft Software Assurance vouchers

Software Assurance - purchase programme of Microsoft solutions for the duration of licence agreements. Did you receive a Software Assurance Training Voucher? You can redeem it with us.

See details

ATTENTION!

The training takes place on a BYOL (Bring Your Own Laptop) basis. This means that you must bring your own laptop to the training or inform us if you do not have one.

About this 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.

After completing this course, students will be able 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.
  • Recognize and address security concerns and implement Azure Security Center for IoT.
  • Build an IoT Solution by using Azure IoT Central and recongize SaaS opportunities for IoT.

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.

 


Course Outline

Module 1: Introduction to IoT and Azure IoT Services

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

Module 2: Devices and Device Communication

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

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

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

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

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

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

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

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

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

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

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