Microsoft Azure IoT Developer

Azure IoT developers are also responsible for implementing design specifications for IoT solutions, including device topology, connectivity, diagnostics and monitoring, and security.
These professionals develop and deploy modules and configure device networking for the Azure IoT Edge portion of the solution.
In addition to this, they implement designs for solutions to manage data pipelines, including monitoring and data transformation as they relate to IoT.

Course Overivew

This AZ-220T00: Microsoft Azure IoT Developer 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, Azure 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, Azure Digital Twins, and Azure IoT Central.
Create, configure, and manage an Azure IoT hub.
Provision devices by using IoT Hub and DPS, including provisioning at scale.
Establish secure 2-way communication between devices and IoT Hub.
Implement message processing by using IoT Hub routing and Azure Stream Analytics.
Configure the connection to Time Series Insights and support business integration requirements.
Implement IoT Edge scenarios using marketplace modules and various edge gateway patterns.
Implement IoT Edge scenarios that require developing and deploying custom modules and containers.
Implement device management using device twins and direct methods.
Implement solution monitoring, logging, and diagnostics testing.
Recognize and address security concerns and implement Azure Security Center for IoT.
Build an Azure Digital Twins solution that integrates upstream and downstream services.
Build an IoT Solution by using Azure IoT Central and recognize SaaS opportunities for IoT.

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Course Benefits:

Course Outline

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

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

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

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

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

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

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

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

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

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

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

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

What you will learn

Audience profile

The Azure IoT Developer is responsible for the implementation and the coding required to create and maintain the cloud and edge portion of an 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.

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Prerequisites

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.
Course: AZ-900: Azure Fundamentals

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Microsoft Azure IoT Developer

Course Overivew

Prerequisites

This course is available at :

Classroom Training

Online Training

WHY CHOOSE CLS

Experience

Premium Facilities

Customer Support

Global Accredited

Up To Date

Certified Instructors

Our Strategic Clients

Over 200,000 Gradutes From CLS

Dr. Hoda Baraka

Amr Khames

Dr. mohamed hafez

DEPI

Mona Moamen

Mohamed Amro Seleem

Mohamed Amro Seleem 2

Mohamed Alaa

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