Internet Of Things (IoT) - Demystified using 3 IOT devices

Name: Internet Of Things (IoT) - Demystified using 3 IOT devices
Rating: 3.8 (42 reviews)

Become IOT expert with Arduino, NODE MCU ESP 8266/ESP 32 & Raspberry Pi - using sensors, micro-python and cloud platform

Created byGuha Rajan M., B.Engg, MBA

Last updated 9/2022

English

What you'll learn

Quickly learn about Arduino Uno, NODE MCU 8266 and Raspberry PI along with critical protocols and its communication to cloud
Understand how micropython firmware are deployed or embedded on to IOT devices like NODEMCU ESP 8266 / ESP 32
Understand commonly used IOT protocols such as REST API, MQTT through IOT based demonstration.
Get an understanding about the latest IOT protocol LoRaWAN and its application
Learn by doing a voice based smart building IOT application using open source application (Adafruit -MQTT,IFTTT) and mobile app (Google assistant)
Single course - Get hands on with multiple : IOT Devices, protocols and cloud applications
Analog sensor and digital sensor Interfacing with IOT device - Demonstration
IOT Board comparison - Node MCU ESP 8266 Vs ESP 32 || Raspberry Pi 3 model B Vs Raspberry Pi 4

Course content

12 sections • 44 lectures • 4h 56m total length

Course Overview3:05
Explore the building blocks of IoT, including architecture, sensors, actuators, and devices, with hands-on demos using microcontrollers, Raspberry Pi, simulators, relays, and cloud integration.
Introduction8:18
IOT - Building Blocks10:33
Sensors and Actuators9:13
Explore how sensors and actuators form the IoT input–output loop, converting ambient changes into analog or digital signals, processed by microcontrollers to drive relays and maintain conditions such as 25°C.
IOT Devices10:07
IOT boards comparison chart3:18
Explore a quick comparison chart of popular IoT boards on the market, including Arduino, Raspberry Pi, and BeagleBone Black, with guidance on choosing based on background and project needs.
Check your knowledge - Quiz 1

REST API - GET using micropython and Node MCU9:04
Demystify rest api usage in IoT by performing get requests with micropython on node mcu to fetch and display sensor weather data, including temperature in Celsius, on an explorer device.
REST API-GET: Demonstration - Using NODE MCU, micropython, Openweathermap5:59
REST API- POST using NODE MCU, Sensor and micropython10:44
REST API - POST: Demonstration using NODE MCU, Sensor output and micropython6:49
What is MQTT?8:18
Explore MQTT, a lightweight publish/subscribe messaging protocol for IoT, using brokers, topics, publishers, and subscribers to exchange kilobyte-scale data between devices with low bandwidth.
MQTT - micropython code6:01
Demystify mqtt with micropython by publishing to and subscribing from broker topics. Authenticate with a user id and password, and use on/off messages to control a device.
MQTT demonstration for switching light ON/OFF3:57

Voice based IOT Application overview step11:01
Arduino IDE Setup for NODE MCU programming and communication2:48
Adafruit MQTT setup3:16
IFTTT Setup - Interface between Google assistance and Adafruit MQTT feed4:31
Configure the IFTT
Program, Test - Adafruit MQTT and IOT Device communication7:15
Program and test Adafruit MQTT with IoT devices by configuring the modem, installing the required libraries, and validating on/off and slider controls through topic messaging and device status checks.
Setting up Google assistant in Android phone2:18
Install Google Assistant from the Play Store on Android, then open the app and speak to it; it responds based on your iftt setup or directs you if no match.
Voice based IOT solution demonstration0:48

Rpi introduction and installing the Raspberry OS - Options- Rpi imager vs Manual12:22
Explore the raspberry pi as a linux-based microcomputer with GPIO and wifi capabilities. Choose between Raspberry Pi Imager and manual installation to prepare the OS on an SD card.
Raspberry OS installation through Raspberry Imager tool - New & easy way!6:37
Headless - Computer and Rpi3 configuration to connect through SSH via Ethernet7:58
Configure a headless Raspberry Pi for SSH access over Ethernet, power it with a suitable supply, and enable SSH by placing a file in the boot folder (port 22).
Headless - Rpi configuration for wifi connect9:32
Headless - connecting Rpi3 remotely without Ethernet cable via SSH, IP address5:47
Rpi 3 - Testing the GPIO pins through Scripts6:38
Test the Raspberry Pi gpio pins through scripts to verify gpio functionality, diagnose cable and peripheral issues, and use a provided script to simulate or distort gpio conditions.

Raspberry pi3 interfacing with Sensor DHT115:33
Raspberry pi3 python library install and reading sensor feed10:12
'Plug and play ' type cloud platform overview for integration to IOT devices3:11
'Plug and play' cloud platform for integration to IOT device - actuator (LED)2:43
Explore a plug-and-play cloud platform for integrating an IoT actuator (LED), control lights from a dashboard, and drag-and-drop noncoding tools to exchange data back and forth.
Plug and play platform - Custom widget (DHT11-Sensor) integration through Python8:28
Check your knowledge - Quiz 4

Requirements

Basic electronics and some programming experience particularly in python is desirable.
Hardware : IOT boards - Arduino UNO, NODEMCU ESP 8266, Raspberry PI3 - This would be based on the activity you wish to build or practice
Hardware: Other Components - Few resistors, potentiometer (5K~10K OHM), breadboard, LEDs, DHT 11 sensor

Description

Become an expert in IoT in shortest possible time. This is an ultimate bundled course with multiple features and would truly stand out in the crowd.

Few of the unique features of the course are:

All in One:

This course has explanation and live demonstration on the most widely used IOT boards, namely.
- Arduino Uno.
- Node MCU - ESP 8266 / ESP32 - Understand and use micro python, the latest programming languages in IOT
- Raspberry pi 3- Model B.
Micro python are increasingly getting adopted these days in tiny micro controller IoT devices. Towards this, the course provide complete explanation right from flashing /installing micro-python in a micro controller IoT device - namely ESP Node MCU - 8266 up to its integration to cloud.
Added to this, has simple and easy to understand demonstration on REST API and MQTT protocols which are widely used in resource constrained IOT devices such as ESP NODE MCU - 8266, Raspberry pi etc.
For better understanding on cloud integration data analytics with IoT, wide range of open source platform as a service cloud(PaaS) have been used:
- Openweathermap
- Cloudmqtt
- Thinkspeak
- google assistant with IFTTT , Adafruit IO dashboard
- Mydevices
Voice based IOT - smart building application using NODE MCU 8266 . This is demonstrated using open source application and mobile app - google assistant.
Finally, all the code units (micropython ,python & Arduino IDE) used in the course are available in the resources for download.

Once you have gone through the course, you would have a expert level understanding of not only IOT devices but also the some of the critical protocols used in IoT and its integration to cloud platform. More importantly, all this is explained through the widely used IoT language of Python.

Good luck on being early adopter of IOT and on your journey of exploring the next generation technology revolution!

Happy learning!!!.

Who this course is for:

Any one interested and learn about different IOT devices, its associated protocols and its communication with cloud world
Engineering students who are interested in Internet of things , taking up up projects in Internet of things and career in IoT.

Internet Of Things (IoT) - Demystified using 3 IOT devices

What you'll learn

Explore related topics

Course content

Internet of things - Introduction and its components6 lectures • 45min

Arduino Uno2 lectures • 6min

Simulated Case study - Humidity Control using Arduino Uno4 lectures • 23min

NODE MCU :ESP8266-12E - Micropython and Esplorer IDE3 lectures • 22min

NODE MCU - ESP8266 12E- Interfacing with Cloud7 lectures • 51min

New - ESP 32 board comparison overview with ESP32661 lecture • 10min

Voice based - IOT for smart building application7 lectures • 32min

Rasberry PI6 lectures • 49min

Raspberry PI 3 interfacing to sensor and communication to cloud5 lectures • 30min

New - Raspeberry Pi 4 Vs Raspberry Pi3 Mobel B Comparison1 lecture • 9min

Requirements

Description

Who this course is for: