This course is designed to help you obtain the knowledge and skills required to sit the AZ-220: Microsoft Azure IoT Developer exam. By the end of the course, you will be able to create and maintain IoT infrastructure, provision and manage devices, implement IoT Edge, implement business integration and security features, process and manage message data, and monitor and troubleshoot IoT solutions. The course covers the concepts, development, and coding required to create and maintain an IoT solution at the edge and in the cloud. Besides configuring cloud services and maintaining the devices, the IoT Developer also sets up the physical devices. As part of the IoT developer role, you will have to maintain devices throughout their lifespan.
Audience Profile:
An Azure IoT Developer is responsible for implementing and maintaining both the cloud and edge components of an Azure IoT solution. This role involves configuring and managing devices using Azure IoT services, setting up physical devices, and maintaining them throughout their lifecycle. IoT Developers work on designing and implementing IoT solutions, including device topology, connectivity, debugging, and security. They also manage data pipelines, handle edge computing scenarios, and collaborate with data engineers to ensure business integration. IoT Developers need a good understanding of Azure services and basic programming skills in languages such as C#, Node.js, Python, or Java.
Skills Gained:
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Create and manage an Azure IoT Hub.
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Provision devices at scale using IoT Hub and Device Provisioning Service (DPS).
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Establish secure communication between devices and IoT Hub.
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Implement message processing using IoT Hub routing and Azure Stream Analytics.
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Configure business integration and data pipelines with Time Series Insights.
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Deploy and configure IoT Edge scenarios using marketplace modules and edge gateway patterns.
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Manage devices with device twins and direct methods.
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Implement monitoring, logging, and diagnostics testing.
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Address security concerns with Azure Security Center for IoT.
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Build IoT solutions using Azure IoT Central and recognize SaaS opportunities.
Prerequisites:
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Cloud Solution Awareness: Familiarity with Azure Portal and understanding of PaaS, SaaS, and IaaS models.
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Software Development Experience: Prior development experience in any programming language.
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Data Processing Experience: General understanding of data storage and processing is beneficial but not required.
Course Outline:
Module 1: Introduction to IoT and Azure IoT Services
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Key Focus: Business considerations for IoT implementations and Azure IoT services.
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Key Learning: IoT solution architecture, core Azure IoT services, and creating an Azure IoT Hub.
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Labs: Getting started with Azure IoT Services.
Module 2: Devices and Device Communication
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Key Focus: IoT Hub features and secure communication.
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Key Learning: Device lifecycle, IoT Hub SDKs, and device registration.
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Labs: Setup development environment and connect IoT device to Azure.
Module 3: Device Provisioning at Scale
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Key Focus: Managing device provisioning with Azure Device Provisioning Service (DPS).
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Key Learning: Device enrollment, security, and SDK implementation.
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Labs: Individual and automatic device enrollment in DPS.
Module 4: Message Processing and Analytics
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Key Focus: IoT message processing, routing, and analytics.
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Key Learning: Configuring message routing, implementing Azure Stream Analytics.
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Labs: Device message routing and filtering message data.
Module 5: Insights and Business Integration
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Key Focus: Data visualization and business integration.
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Key Learning: Using Azure Logic Apps, Power BI, Time Series Insights, and IoT Hub with Event Grid.
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Labs: Data analysis using Time Series Insights.
Module 6: Azure IoT Edge Deployment Process
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Key Focus: Deploying and managing IoT Edge devices.
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Key Learning: Configuring IoT Edge devices and gateway.
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Labs: IoT Edge setup and gateway configuration.
Module 7: Azure IoT Edge Modules and Containers
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Key Focus: Developing and deploying custom IoT Edge modules.
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Key Learning: Building custom edge modules, handling offline scenarios,
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Labs: Developing and debugging IoT Edge modules.
Module 8: Device Management
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Key Focus: Implementing IoT device management.
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Key Learning: Device twins, direct methods, and managing devices at scale.
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Labs: Remote device management with IoT Hub.
Module 9: Solution Testing, Diagnostics, and Logging
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Key Focus: Configuring logging and diagnostics for IoT solutions.
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Key Learning: Monitoring with Azure Monitor and troubleshooting.
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Labs: Configure logs and monitor connection failures.
Module 10: Azure Security Center and IoT Security Considerations
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Key Focus: Security architecture for IoT solutions.
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Key Learning: Best practices for securing IoT devices with Azure Security Center.
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Labs: Implement Azure Security Center for IoT.
Module 11: Build an IoT Solution with IoT Central
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Key Focus: Implementing IoT solutions using Azure IoT Central.
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Key Learning: Creating and managing device templates, scaling IoT solutions.
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Labs: Create IoT Central application and manage devices at scale.
Live Online Training (Duration : 16 Hours)
