Microsoft Azure IoT Developer AZ-220

 

This course provides students with the skills and knowledge to successfully build and maintain the cloud and edge portions of an Azure IoT solution. The course includes comprehensive coverage of core Azure IoT services like IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to focusing on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security issues, Azure Digital Twins, and Azure IoT Central. Microsoft Azure IoT Developer AZ-220

Audience Profile

In addition to focusing on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security issues, Azure Digital Twins, and Azure IoT Central. In addition to configuring and maintaining devices using Azure IoT services and other Microsoft tools, the IoT Developer also configures physical devices and is responsible for maintaining devices throughout their lifecycle. The IoT Developer implements designs for IoT solutions, including device topology, connectivity, debugging, and security. For edge device scenarios, the IoT developer also implements compute/containers and configures the device network, which could include multiple edge gateway implementations. The IoT Developer implements designs for solutions to manage data pipelines, including monitoring and data transformation in relation to IoT. The IoT developer works with data engineers and other stakeholders to ensure a successful business integration. IoT developers should have a good understanding of Azure services, including data storage options, data analysis, data processing, and Azure IoT PaaS versus SaaS options. IoT developers must have basic programming skills in at least one language supported by Azure, including C#, Node.js, C, Python, or Java.

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 Azure services commonly used in an IoT solution and provides an introduction to the Azure portal. Designing and Implementing a Data Science Solution on Azure course DP-100

lessons

Introduction to the architecture of IoT solutions

Hardware para IoT y Cloud Services

Laboratory scenarios for this course

Lab : Introduction to Azure

Lab : Introduction to Azure IoT Services

After completing this module, students will be able to:

Explain how IoT and Azure IoT could apply to your business

Describe the main components of an Azure IoT solution architecture

Describe 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 learn how to set up 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, which will be explored in greater depth as the course continues.

lessons

IoT Hub Concepts

IoT device lifecycle concepts

Development tools for IoT

Device configuration and communication

Lab : Connect IoT Devices to Azure

Lab : Development Environment Configuration

After completing this module, students will be able to:

Explain the main features of 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 IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code

Deploy the IoT Hub Service and Device SDKs

Module 3: Large Scale Device Provisioning

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, unenrollment, and how to implement various certification mechanisms.

lessons

Device Provisioning Service Terms and Concepts

Configuring and managing the device provisioning service

Device provisioning tasks

Lab : Individual Device Enrollment in DPS

Lab : Automatic Device Enrollment in DPS

After completing this module, students will be able to:

Explain the device provisioning process and features of the device provisioning service

Explain the security considerations associated with device provisioning and how they are managed

Deploy the Device Provisioning Service SDKs

Manage the device enrollment process, including deprovisioning and unenrollment

Module 4: Message Processing and Analysis

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 complete their module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.

lessons

Messages and message processing

Additional considerations for IoT Hub messages

Data storage and lambda architecture

Azure Functions y Stream Analytics

Lab : Device Message Routing

After completing this module, students will be able to:

Configure message and event routing

Route data to built-in and custom endpoints

Implement message enrichment

Implement Azure Stream Analytics inputs, queries, and outputs

Buffer message data for historical purposes and further analysis

Use an Azure function within a message processing and parsing solution

Module 5: Information and Business Integration

In this module, students will learn about 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 configure data connection and transformations for data visualization tools such as Time Series Insights and Power BI.

lessons

Enterprise integration for IoT solutions

Data visualization with Time Series Insights

Data visualization with Power BI

Lab: IoT Hub Integration with Event Grid

Lab : Exploring and Analyzing 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 support for business integration using Logic Apps and Event Grid

Configure IoT data for display in Time Series Insights

Describe data visualization with Power BI

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