IoT Certification Training on Azure Course

IoT Certification Training on Azure Course Course

This course excels at bridging hardware and cloud, guiding you from sensor interfacing on Raspberry Pi to deploying Azure IoT Edge modules and voice-enabled controls.

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9.7/10 Highly Recommended

IoT Certification Training on Azure Course on Edureka — This course excels at bridging hardware and cloud, guiding you from sensor interfacing on Raspberry Pi to deploying Azure IoT Edge modules and voice-enabled controls.

Pros

  • Deep integration of Raspberry Pi hardware with Azure IoT Hub and Edge
  • Real-world demos: weather station, face recognition, Alexa voice bot
  • Comprehensive coverage of communication protocols and edge analytics

Cons

  • Assumes basic Python and Linux skills for Raspberry Pi setup
  • Limited coverage of other edge platforms beyond Azure

IoT Certification Training on Azure Course Course

Platform: Edureka

Instructor: Unknown

What will you learn in IoT Certification Training on Azure Course

  • Grasp the IoT ecosystem: architecture, frameworks, and solution design on Azure

  • Configure and program Raspberry Pi and Sense HAT: GPIO interfacing, sensor data collection, and Python scripting

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  • Build end-to-end IoT solutions with Azure IoT Hub: device provisioning, telemetry ingestion, and message routing

  • Implement edge computing with Azure IoT Edge: deploy modules to Raspberry Pi, perform local analytics, and manage containerized workloads

Program Overview

Module 1: Introduction to Internet of Things

⏳ 2 hours

  • Topics: IoT fundamentals, ecosystem components, decision frameworks, and solution-architecture models

  • Hands-on: Explore major IoT boards and diagram a reference architecture

Module 2: Setting Up Raspberry Pi & Sense HAT

⏳ 2 hours

  • Topics: Raspberry Pi installation, SSH access, Sense HAT programming basics

  • Hands-on: Configure Pi over SSH and program Sense HAT sensors with Python

Module 3: Building IoT Solutions with Raspberry Pi

⏳ 3 hours

  • Topics: Sensor-actuator integration, data streaming to Google Sheets, basic OpenCV for vision tasks

  • Hands-on: Create a weather station, log data to Google Sheets, and build a face-detection app

Module 4: IoT Communication Protocols

⏳ 1.5 hours

  • Topics: MQTT, HTTP, AMQP, CoAP—protocol selection and implementation

  • Hands-on: Publish and subscribe to sensor data over MQTT

Module 5: Implementing IoT with Azure IoT Hub

⏳ 3 hours

  • Topics: Device registration, telemetry ingestion, routing to storage, and dashboarding

  • Hands-on: Register Pi devices, send/receive messages via Azure IoT Hub, visualize data in Azure Storage Explorer

Module 6: Edge Computing & Analytics

⏳ 2 hours

  • Topics: Azure IoT Edge architecture, module deployment, real-time analytics at the edge

  • Hands-on: Deploy IoT Edge modules to Raspberry Pi and analyze streaming sensor data locally

Module 7: Alexa Voice Bot Integration

⏳ 1.5 hours

  • Topics: AWS Alexa Skill development, Pi-Alexa communication, voice-driven IoT control

  • Hands-on: Build and deploy an Alexa skill to query sensor readings and control actuators on Pi

Module 8: Capstone Project – Real-World IoT Solution

⏳ 4 hours

  • Topics: End-to-end design, security considerations, scalability, and future enhancements

  • Hands-on: Architect and implement a complete IoT scenario combining cloud, edge, and voice interfaces

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Job Outlook

  • IoT Developer: $100,000–$150,000/year — build and deploy IoT solutions across industries

  • Edge Solutions Engineer: $110,000–$160,000/year — implement edge analytics and containerized workloads

  • Cloud IoT Architect: $120,000–$180,000/year — design secure, scalable IoT architectures on Azure

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FAQs

Do I need prior programming experience to take this course?
No prior .NET experience required; basic programming knowledge helpful. Learn C# syntax, types, control flow, and CLR fundamentals. Hands-on projects with Windows Forms and WPF for desktop apps. Covers ASP.NET Web Forms, MVC, and Web API for web apps. Builds a foundation for .NET developer or full-stack roles.
Will I learn both desktop and web application development?
Build CRUD desktop apps using Windows Forms. Create dashboards and real-time interfaces with WPF and XAML. Develop web apps with ASP.NET Web Forms and MVC. Expose data via RESTful Web API services. Integrate databases using ADO.NET and Entity Framework ORM.
Does the course cover security and performance best practices?
Implement authentication/authorization (Forms, Windows, OAuth). Configure apps via app.config and web.config. Use structured logging with Serilog/NLog. Deploy web apps on IIS and optimize memory usage. Learn async patterns for scalable application performance.
Can this course help me pursue a career in .NET development?
Gain skills for .NET Developer or Full-Stack .NET roles. Build enterprise-grade desktop and web applications. Develop RESTful APIs and integrate with front-end frameworks. Hands-on projects for real-world experience. Salary potential: $80,000–$140,000/year depending on role.
Will I get hands-on projects and practice with databases?
Connect to SQL Server using ADO.NET and Entity Framework. Perform CRUD operations and model databases. Build desktop apps with dynamic UI and event handling. Develop web apps with MVC routing, controllers, and Razor views. Expose data through Web API and test with Swagger.

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