Microsoft Azure IoT Developer Course Overview

Microsoft Azure IoT Developer Course Overview

The Microsoft Azure IoT Developer course is designed to impart comprehensive knowledge and skills required to implement solutions using Microsoft Azure IoT services. It covers the fundamentals of IoT, deep dives into Azure IoT services, and provides practical labs for hands-on experience. This Azure IoT training emphasizes key areas such as IoT solution architecture, device communication, provisioning, message processing, analytics, integration, security, and how to manage IoT devices at scale.

Learners will explore Azure IoT Hub, Azure IoT Edge, Azure Security Center for IoT, and Azure IoT Central. Upon completion of the course, participants will be proficient in building end-to-end IoT solutions, setting the stage for obtaining Azure IoT Certification. This certification demonstrates the ability to implement the IoT solution lifecycle, from device setup through data analysis and integration with existing business systems. The course is a valuable asset for any developer looking to specialize in the rapidly expanding field of IoT on the Azure platform.

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  • Live Online Training (Duration : 32 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure you have a successful learning experience in the Microsoft Azure IoT Developer course, here are the minimum required prerequisites:


  • Basic understanding of cloud computing concepts, particularly with Microsoft Azure services.
  • Fundamental knowledge of IoT concepts and the general architecture of IoT solutions.
  • Experience with at least one programming language, preferably C#, Node.js, or Python, as these are commonly used in IoT development.
  • Familiarity with JSON and REST APIs, which are used for device communication in IoT solutions.
  • Basic knowledge of networking concepts, such as IP addressing, HTTP, and MQTT, which are relevant for IoT device connectivity.
  • An understanding of data storage and data processing concepts, as they relate to handling IoT data streams.
  • An Azure subscription (can be a free tier for learning purposes) to perform hands-on lab exercises.

These prerequisites are designed to provide a foundation for the course content and ensure you can actively engage with the course materials and lab scenarios. If you are new to some of these areas, we recommend reviewing introductory materials on cloud computing, programming, and networking prior to starting the course.


Target Audience for Microsoft Azure IoT Developer

The Microsoft Azure IoT Developer course equips participants with the skills to build IoT solutions using Azure services.


  • IoT Developers and Engineers
  • Software Developers interested in IoT solutions
  • Cloud Solutions Architects focusing on IoT
  • Data Scientists seeking to analyze IoT data
  • IT Professionals aiming to implement IoT in business processes
  • Product Managers overseeing IoT-based products
  • Technical Project Managers involved with IoT projects
  • Systems Integrators who design and deploy IoT solutions
  • Technical Leads managing IoT development teams
  • Security Professionals responsible for IoT security
  • DevOps Engineers automating IoT solution deployments
  • Innovation Managers exploring IoT business opportunities


Learning Objectives - What you will Learn in this Microsoft Azure IoT Developer?

Introduction to the Microsoft Azure IoT Developer Course Learning Outcomes:

This course equips participants with the skills to implement and manage Azure IoT solutions, including device provisioning, message processing, integration, and security.

Learning Objectives and Outcomes:

  • Understand the business opportunities presented by IoT and how to capitalize on them.
  • Grasp the essentials of IoT solution architecture and the role of IoT hardware and cloud services.
  • Gain proficiency in using Azure services to create and deploy IoT solutions.
  • Learn to configure and manage devices using the IoT Hub and understand device communication protocols.
  • Master the Device Provisioning Service (DPS) for IoT devices at scale, including individual and automatic enrollment.
  • Develop the ability to process and analyze IoT data using Azure Stream Analytics and other data storage options.
  • Integrate IoT data with business applications and visualize it using Time Series Insights and Power BI.
  • Understand the deployment process for Azure IoT Edge, including developing custom modules and managing edge devices.
  • Acquire skills for device management, troubleshooting, and implementing device management at scale.
  • Comprehend the security fundamentals for IoT, utilize Azure Security Center for IoT, and enhance IoT solutions security.

Note: The above objectives and outcomes are derived from the context provided and structured to align with the course modules.