Master Internet Of Things using RaspberryPi 3 and MS Azure

Explore how internet of things enables physical objects to be controlled and connected through hardware, software, and communication infrastructure, enabling continuous monitoring, smart homes, security, and automatic actions.

Explore the Raspberry Pi 3 B plus as an IoT development board with Broadcom system-on-chip, 1.2 ghz processor, 1 gb ram, built-in wifi and BLE, and home cloud storage.

Explore Raspberry Pi 3 pins and GPIO concepts, including multi-functional GPIO14 and GPIO15, and compare 3.3-volt CMOS logic with TTL logic for interfacing devices.

Demonstrate pulse width modulation on Raspberry Pi 3 with Python, showing how duty cycle shapes PWM signals to emulate analog output for motors and sensors in IoT.

Explore the Raspberry Pi GPIO pins, including 3.3V/5V power, ground, and general-purpose pins. Learn pin numbering, WiringPi, and key protocols like I2C and SPI for interfacing sensors and devices.

Explore the Arduino board with ATmega328 microcontroller, 14 digital pins, 16 MHz clock, and open source hardware, compatible with shields and programmable via the Arduino IDE.

Explore how legacy internet protocols adapt to the internet of things, enabling secure, low-power, lightweight communication across diverse wireless networks with emerging IoT protocols.

Explore lightweight data exchange protocols for IoT, focusing on MQTT and CoAP, broker-based and pub/sub architectures, topics, asynchronous communication, and security considerations.

Explore sub 1 ghz wireless for IoT, enabling long-range, low-power connections with better penetration and indoor coverage to connect home devices to the cloud.

5g becomes the backbone of the internet of things, enabling data transfer for fixed and mobile devices. Non-orthogonal multiple access offers unified approach to IoT quality-of-service, including wireless health care.

Explore the anatomy of IoT platforms, from connectivity and device management to data analytics and external interfaces, with emphasis on secure, scalable cloud integration and real-time dashboards.

Explore commercial IoT platforms, compare AWS, Azure, IBM, and others, and learn how secure, scalable, data-driven solutions connect millions of devices with SDKs, protocols, and edge-to-cloud data flow.

Learn how the ots solution architecture connects remote devices to the cloud via gateways, enabling edge analytics, data aggregation, secure provisioning, and identity and state stores for Azure integrations.

Explore open-source and simpler IoT platforms for deploying prototypes with free cloud services, REST APIs, and Arduino or Raspberry Pi support, plus dashboards and core data buckets for real-time data.

Learn the basics of electronics: how breadboards connect components to positive and negative rails, avoid short circuits, and test circuits designed to measure temperature, humidity, or pressure.

Inspect the Raspberry Pi board, insert the memory card correctly, and connect power, keyboard, and mouse. Observe the boot indicator blink to begin the basic internet-ready setup.

Install Raspbian OS on the Raspberry Pi 3 and begin the setup. Connect to wifi and update and upgrade the system to the latest packages via the command prompt.

Sign up and log into an open source IoT platform to access your dashboard, create experiments and projects, configure a sample program, install dependencies, and view live transmission outputs.

Explore simple raspberry pi programming as an IoT client using an open source library, defining credentials, processing command line arguments, and exchanging JSON data to interact with the cloud.

Install wiringpi and configure the C library to access hardware via wrappers for C and C++ programs, clone the repository, and build with provided scripts.

Learn to wire a Raspberry Pi LED circuit on a breadboard and control it via GPIO 17 with a practical program. View the LED behavior on a web dashboard.

Extend the previous experiment by wiring three leds to a raspberry pi using a single ground, and control them from a mobile app via a QR-scanned bella dashboard.

Learn to wire a humidity and temperature sensor to a Raspberry Pi, read live data, and visualize it on an open source dashboard platform for weather forecasting.

Create an Azure IoT Hub to enable secure bi-directional communication between devices and the backend, and monitor device connectivity at scale.

Generate a unique device id and key for a simulated sensor, copy the primary connection string from the hub policy, and embed it in the program to register the device.

Learn to set up a Raspberry Pi based IoT project and Azure cloud integration to read device-to-cloud messages, install dependencies, and configure a reader to print and manage messages.

Run a simulated device app that sends cloud messages to the hub, configure the connection string and shared access key, and display temperature and humidity values.

Learn to create an Azure storage account, configure read access with a consumer group, and develop and deploy a function to store messages in Azure Table storage.

Create and configure an Azure storage account and function, connect to event hub, and run a sample app to store and visualize device temperature and humidity data in table storage.

Create and configure an Azure Stream Analytics job to transfer IoT sensor data to Power BI for visualization, then publish interactive reports of temperature and humidity over time.

Design a vote count machine with Azure, using a Raspberry Pi and a sensor to read votes, display status on an lcd, and publish counts to the cloud.