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IoT Certification Training on Azure

An immersive IoT course that seamlessly blends Raspberry Pi hardware, Azure cloud services, and voice interfaces into production-ready IoT solutions.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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

Get certificate

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

9.7Expert Score
Highly Recommendedx
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.
Value
9
Price
9.2
Skills
9.4
Information
9.5
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

Specification: IoT Certification Training on Azure

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

IoT Certification Training on Azure
IoT Certification Training on Azure
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