Microsoft Azure IoT Developer

Session Detail:    Classroom, Virtual 4 Day

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.

Prerequisites

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 recommended but not required. Cloud Solution Awareness: Students should have a basic understanding of PaaS, SaaS, and IaaS implementations. Microsoft Azure Fundamentals (AZ-900), or equivalent skills, is recommended.

Who Can Benefit

An Azure IoT Developer is responsible for implementing and then maintaining the cloud and edge portions of an Azure IoT solution. In addition to configuring and maintaining devices by using Azure IoT services and other Microsoft tools, the IoT Developer also sets up the physical devices and is responsible for maintaining the devices throughout the life cycle. The IoT Developer implements designs for IoT solutions, including device topology, connectivity, debugging, and security. For Edge device scenarios, the IoT Developer also deploys compute/containers and configures device networking, which could include various edge gateway implementations. The IoT Developer implements designs for solutions to manage data pipelines, including monitoring and data transformation as it relates to IoT. The IoT Developer works with data engineers and other stakeholders to ensure successful business integration. IoT Developers should have a good understanding of Azure services, including data storage options, data analysis, data processing, and the Azure IoT PaaS versus SaaS options. IoT Developers should have basic programming skills in at least one Azure-supported language, including C#, Node.js, C, Python, or Java.

Session Outline

Class Outline

Module 1: Introduction to IoT and Azure IoT Services

  • Lesson 1: Business Opportunities for IoT
  • Lesson 2: Introduction to IoT Solution Architecture
  • Lesson 3: IoT Hardware and Cloud Services
  • Lesson 4: Lab Scenarios for this Course

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

  • Lesson 1: IoT Hub and Devices
  • Lesson 2: IoT Developer Tools
  • Lesson 3: Device Configuration and Communication

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

  • Lesson 1: Device Provisioning Service Terms and Concepts
  • Lesson 2: Configure and Manage the Device Provisioning Service
  • Lesson 3: Device Provisioning Tasks

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

  • Lesson 1: Messages and Message Processing
  • Lesson 2: Data Storage Options
  • Lesson 3: Azure Stream Analytics

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

  • Lesson 1: Business Integration for IoT Solutions
  • Lesson 2: Data Visualization with Time Series Insights
  • Lesson 3: Data Visualization with Power BI

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

  • Lesson 1: Introduction to Azure IoT Edge
  • Lesson 2; Edge Deployment Process
  • Lesson 3: Edge Gateway Devices

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

  • Lesson 1: Develop Custom Edge Modules
  • Lesson 2: Offline and Local Storage

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

  • Lesson 1: Introduction to IoT Device Management
  • Lesson 2: Manage IoT and IoT Edge Devices
  • Lesson 3: Device Management at Scale

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

  • Lesson 1: Monitoring and Logging
  • Lesson 2: Troubleshooting

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

  • Lesson 1: Security Fundamentals for IoT Solutions
  • Lesson 2: Introduction to Azure Security Center for IoT
  • Lesson 3: Enhance Protection with Azure Security Center for IoT Agents

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: Build an IoT Solution with IoT Central

  • Lesson 1: Introduction to IoT Central
  • Lesson 2: Create and Manage Device Templates
  • Lesson 3: Manage Devices in Azure 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
  • Manage devices at scale using jobs

Need to train your team?

All of our sessions can be customized to meet your team’s specific need. Build the perfect program by picking and choosing topics from any of the courses in our catalog. A personalized private session gives you the ultimate flexibility and helps maximize your team’s valuable time!

Requesting Team Training
DateTimeTypePriceAdd To Cart

Microsoft Azure IoT Developer

4 Day
Classroom, Virtual

$2,595.00

Chat with a Coach

Chat with a Coach

Have a more immediate need? Why spend the next hour searching online for answers when you can spend just 15 minutes with one of our experts and get accurate and personalized answers to all of your questions. 

$9.99 | 15 Minutes

Book Now