Enroll Now With Us
Please fill the below details, and our consultant will help you in the enrollment process.
Please fill the below details, and our consultant will help you in the enrollment process.
Azure
$2295
Per Participant
Note: This course is scheduled to retire on July 31, 2023.
AZ-220T00: Microsoft Azure IoT Developer Training is developed to help professionals gain the knowledge and skills required to successfully build and manage the cloud and edge portions of Azure IoT solutions. This technical course contains an in-depth explanation of core Azure IoT services, including Device Provisioning Services, IoT Hub, Time Series Insights, Azure Stream Analytics, and many more. This training program is ideal for IoT developers who implement and maintain the cloud of an Azure IoT solution and IoT developers who operate with other stakeholders to make sure that business integration is successful. By the end of the course, trainees will know how to identify and address security concerns and implement device management with the help of direct methods and device twins.
This training is designed based on the objectives of the course variant AZ-220T00-A
The Microsoft Azure IoT developer training is ideal for Azure IoT developers who are responsible to implement and maintain cloud and edge portions of an Azure IoT solution. With the training, Microtek Learning is aiming to help developers to learn various tools and devices that are needed to set up the physical devices and responsible for maintaining them throughout their life cycle. Developers can gain knowledge about device connectivity, security, topology, and debugging. Having basic programming skills in an Azure supported language such as Python, Java, C#, C, or Node.js will help learners acing their training.
Microsoft Certified PartnerMicrotek Learning is a Microsoft Certified Partner for Learning Solutions. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
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.
Lesson
Lab: Getting Started with Azure
Lab: Setting Started with Azure IoT Services
After completing this module, students will be able to:
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.
Lesson
Lab: Setup the Development Environment
Lab: Connect IoT Device to Azure
After completing this module, students will be able to:
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.
Lesson
Lab: Individual Enrollment of Devices in DPS
Lab: Automatic Enrollment of Devices in DPS
After completing this module, students will be able to:
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.
Lesson
Lab: Device Message Routing
After completing this module, students will be able to:
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.
Lesson
Lab: Integrate IoT Hub with Event Grid
Lab: Explore and Analyze Time Stamped Data with Time Series Insights
After completing this module, students will be able to:
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.
Lesson
Lab: Introduction to IoT Edge Deployments
Lab: Implement an IoT Edge gateway
After completing this module, students will be able to:
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.
Lesson
Lab: Create and Deploy a Custom Edge Module
Lab: Implement Restricted Network and Offline Scenarios for IoT Edge
After completing this module, students will be able to:
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.
Lesson
Lab: Manage Devices using Device Twins and Direct Methods
Lab: Implement Automatic Device Management
After completing this module, students will be able to:
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.
Lesson
Lab: Configure IoT Hub Monitoring
After completing this module, students will be able to:
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.
Lesson
Lab: Implementing Azure Defender for IoT
After completing this module, students will be able to:
In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps toward implementing ADT. Students will begin by investigating the concepts behind the Azure Digital Twins service and an ADT solution, followed by an introduction to the development tools that can be used to build and monitor an ADT solution. Students will then use the development tools to create custom models, build and query an ADT environment graph, ingest IoT device telemetry, and implement business logic and data processing.
Lesson
Lab: Develop Azure Digital Twins solutions
After completing this module, students will be able to:
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.
Lesson
After completing this module, students will be able to:
* For more details call: +1-800-961-0337 or Email: info@microteklearning.com
For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.
Share With Your Friends!
Twitter
LinkedIn