IoT Certification Training on Azure Course Syllabus

Overview: This comprehensive IoT Certification Training on Azure course blends hands-on hardware programming with powerful cloud capabilities on Microsoft Azure. Designed for beginners, it guides learners from setting up Raspberry Pi and sensors to deploying intelligent edge modules and integrating voice-controlled interfaces. The curriculum spans 20 hours of content, combining theory with practical labs to build production-grade IoT solutions. You'll progress through core IoT concepts, device setup, communication protocols, cloud integration with Azure IoT Hub, edge computing, and voice bot integration, culminating in a capstone project that ties all components together.

Module 1: Introduction to Internet of Things

Estimated time: 2 hours

• IoT fundamentals and ecosystem components
• Decision frameworks for IoT solutions
• Solution-architecture models
• Exploration of major IoT boards and reference architectures

Module 2: Setting Up Raspberry Pi & Sense HAT

Estimated time: 2 hours

• Raspberry Pi installation and configuration
• SSH access and remote management
• Sense HAT programming basics
• Python scripting for sensor interaction

Module 3: Building IoT Solutions with Raspberry Pi

Estimated time: 3 hours

• Integration of sensors and actuators
• Data streaming to Google Sheets
• Basic OpenCV for vision tasks
• Hands-on: Weather station and face-detection application

Module 4: IoT Communication Protocols

Estimated time: 1.5 hours

• Overview of MQTT, HTTP, AMQP, and CoAP
• Protocol selection criteria
• Implementation of MQTT for sensor data

Module 5: Implementing IoT with Azure IoT Hub

Estimated time: 3 hours

• Device registration and provisioning
• Telemetry ingestion and message routing
• Dashboarding and data visualization in Azure Storage Explorer

Module 6: Edge Computing & Analytics

Estimated time: 2 hours

• Azure IoT Edge architecture
• Deployment of containerized modules to Raspberry Pi
• Real-time analytics at the edge

Module 7: Alexa Voice Bot Integration

Estimated time: 1.5 hours

• AWS Alexa Skill development
• Communication between Raspberry Pi and Alexa
• Voice-driven control of actuators and sensor queries

Module 8: Capstone Project – Real-World IoT Solution

Estimated time: 4 hours

• Design and implementation of an end-to-end IoT system
• Integration of cloud, edge, and voice interfaces
• Security, scalability, and future enhancements

Prerequisites

• Basic understanding of Python programming
• Familiarity with Linux command line and SSH
• Access to a Raspberry Pi and Sense HAT (recommended)

What You'll Be Able to Do After

• Design and deploy IoT solutions using Azure cloud services
• Interface sensors and actuators with Raspberry Pi using Python
• Implement secure communication using MQTT and Azure IoT Hub
• Deploy and manage analytics at the edge using Azure IoT Edge
• Integrate voice control into IoT applications via Alexa