Cod: MS_AZ-220 Cloud MICROSOFT Dificultate: Expert

Microsoft Azure IoT Developer

(4 Zile)
Română
Onsite training
Instructor - Led Training
Bucharest Română

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Obiectiv

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, Asure 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.

Cerințe

To be successful in this course, learners should have the following:

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.

Instructor-led course: AZ-900: Azure Fundamentals

Conţinut

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 : Connect IoT Device to Azure Lab : Setup the Development Environment 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 enrollment process, auto-provisioning and re-provisioning, disenrollment, 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 Enrollment of Devices in DPS Lab : Automatic Enrollment 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 enrollment process, including deprovisioning and disenrollment

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 : Filtering and Aggregating Message Data Lab : Device Message Routing 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 visualization tools such as Time Series Insights and Power BI.

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 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 Visualization in Time Series Insights

Configure IoT Data for Visualization 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 : Set Up an IoT Edge Gateway Lab : Introduction to IoT Edge 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 : Automatic Device Management Lab : Remotely Monitor and Control Devices with Azure IoT Hub After completing this module, students will be able to:

Describe the most common device management patterns and configuration best practices

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 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.

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 After completing this module, students will be able to:

Describe security concerns and best practices for an IoT solution

Describe the Azure IoT Security Architecture and Threat Modeling

Describe the features and support provided by Azure Security Center for IoT

Configure Security Agents and Security Module Twins

Aggregate Azure Security Center for IoT Events

Module 11: ADT 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.

Lessons Introduction to Azure Digital Twins

Introduction to ADT solution development

Monitor and troubleshoot ADT

Lab : Develop Azure Digital Twins (ADT) solutions After completing this module, students will be able to:

Describe the components of an Azure Digital Twins (ADT) solution

Explain how to create and configure an ADT instance

Explain how to create, query, and manage the ADT graph

Explain how to ingest ADT data from IoT hub and implement support for downstream services

Describe how to monitor and troubleshoot ADT

Module 12: 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 : Build an IoT Solution with 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

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