Build Internet of Things with ESP8266 & MicroPython
4.2 (336 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,828 students enrolled

Build Internet of Things with ESP8266 & MicroPython

Realise your Apps using various sensors(Temp, Humidity,Gas& Motion), displays(N5110,SSD1306), also Bind Apps to Google.
4.2 (336 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,828 students enrolled
Created by MiUbi Systems
Last updated 6/2020
English
English
Current price: $34.99 Original price: $49.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4 hours on-demand video
  • 3 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • How to create smart IOT applications over NodeMCU hardware Using MircroPython through PyCharm IDE ?
  • How to use PyCharm as IDE for Code Development & Flashing ?
  • How to use Vibration / Temperature / Humidity / Gas / LiDAR Sensors ?
  • How to use Adafruit, Thingspeak, apps for Analysis & Visualization of Data Grabbed from different Sensors ?
  • How to use Google Voice and IFTTT to make complex " voice based device control " applications simple ?
  • How to use LCD Display Interfaces like SSD1306, Nokia 5110 ?
  • What is JSON format and how to use it with IoT applications ?
Requirements
  • Windows10 Computer
  • Little Knowledge on Basic Electronics
  • A Bread Board with a bunch of jumper wires and supply MB102(Optional) (Costs 4$)
  • ESP8266 NodeMCU-V3 Board(Costs 3$, where as a PyBoard costs you 10 times)
  • RGB LED(Costs 0.5$)
  • Motion Sensor SW420 (Costs 0.75$)
  • Temperature and Humidity Sensor DHT11(Costs:1$)
  • PyCharm(Free)
  • Urge to Complete Course
  • [For New Lectures] 128 x 64 OLED Display - SSD1306 (Costs 1$)
  • [For New Lectures] uLiDAR Moule - VL6180x (Costs 3$)
  • [For New Lectures] Nokia 5110 Display (Costs 1.7$)
Description

Updates: 

UPDATE 8 : Project 8 How to Push Sensor Data to Google Sheets for Data Logging ? (based on Lab 4 and Project 7)

UPDATE 7 : Project 7 from UPDATE 5 and 6 Labs, pushing notifications up on an alarming activity

UPDATE 6 : Using NodeMCU with Pushbullet for Push notification on Mobiles and other devices

UPDATE 5 : Using MQ135 Sensor for Gas Detection and Decision Making

UPDATE 4 : Using Nokia5110 Display with NodeMCU, Parsing JSON Data with NodeMCU, Creating a Weather Station Dashboard using NodeMCU and Nokia 5110 Display

UPDATE 3: Using LiDAR for IOT Apps, A lecture on Gesture recognition using VL6180x is added to bonus lectures, vl6180x from STMicroElectronics is a popular sensor for mobile phones, which can also be used for IOT Apps, Have a look for new Ideas

UPDATE 2 : After Request from Students Asking about interfacing a display, we have uploaded few bonus lectures on working with SSD1306, a 128 x 64 OLED display, after taking these labs you will be able to draw objects, display your own images and run gif images over SSD1306

UPDATE 1 : After listening to candidates expressing their discomfort with instructor's accent ,Captions(CC) of all Lectures in the course are properly transcribed now and are not automatic(annoying)

Description :

This course gives a brief introduction to IOT and enables the students/enthusiasts to create very easy and useful applications through NodeMCU hardware and supporting sensors in a fastest way.

Regular courses which teach IOT through Raspberry pi  may incur a cost of 30 - 50 $  including different sensors to complete the learning process, where as this course uses hardware like NodeMCU which is Open-source, Interactive, Low cost, Simple, Smart and WI-FI enabled hardware powered by ESP8266

Regular courses use C/ C++  language to code,Where as this  course emphasizes more on the use of MicroPython which is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments.

This Course uses popular PyCharm IDE from Jetbrains available free as community edition 

Course is completely experimental / lab based and has no boring lectures and introductory graphics

It shows how to interface and grab data from sensors like Vibration, Temperature, Humidity, Pressure

It teaches how to post / visualize the  data grabbed from sensor on to internet, visualization brokers/interfaces like Thingspeak and Adafruit.IO are used 

Apart from visualization the course also teaches how to control IOs/devices connected to NodeMCU hardware through internet from any place in the world using Google Voice Assistant and If This Then That (IFTTT) platforms

Our rationale to build/teach this course: We went through different courses on IOT and found that there is need for a course which can teach people about building IOT Apps under limited budget


Who this course is for:
  • Hobbyists, Electronics Beginner, Electronics Professionals
Course content
Expand all 46 lectures 04:12:34
+ Software Setup
5 lectures 32:47
Connecting NodeMCU to PC & Flashing through GUI Flasher
06:58
Flashing NodeMCU through ESP Tool
06:05
Uploading Scripts using mpfshell
09:04
Uploading Scripts using PyCharm
10:18

Known Problems During Flashing process and workarrounds

Known Problem During Flashing
00:22
+ Quick Reference
1 lecture 00:00
Quick Reference - NodeMCU
00:00
+ Lab 3 - Reading onchip ADC
1 lecture 07:52
Lab 3 - Analog to Digital Converter
07:52
+ Lab 5 - Handling Temperature and Humidity Sensor(DHT11)
2 lectures 08:54
Lab 5 - Using DHT11(Temperature & Humidity Sensor)
08:41

Possible Errors while using DHT11 Sensors

Known Problems with DHT11
00:13