UPDATE 12 : Hola, el curso está habilitado con subtítulos en alemán[Powered by Google Translate]

UPDATE 11 : Hallo, der Kurs ist mit deutschen Untertiteln / Bildunterschriften aktiviert[Powered by Google Translate]

UPDATE 10:Enjoy Project 9 Where we use Lab 13 &14 to Create Custom Webpage to control devices connected over NodeMCU

UPDATE 9 :Lab 13 &14 added , To Get Familiar of Using NodeMCU as Webserver and Basics of HTML&CSS

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 NodeMCUwith 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 JSONData with NodeMCU, Creating a Weather Station Dashboard using NodeMCU and Nokia 5110 Display

UPDATE 3:Using LiDARfor 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 IOTApps, 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 OLEDdisplay, 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 briefintroduction to IOT and enables the students/enthusiasts to create very easy and usefulapplications 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 isOpen-source, Interactive, Low cost, Simple, Smart andWI-FI enabled hardware powered by ESP8266

Regular courses useC/C++ language to code,Where as this course emphasizes more onthe use of MicroPythonwhichis a lean and efficient implementation of the Python 3programming 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 IDEfrom Jetbrainsavailable free as community edition

Course is completely experimental / lab based and hasno boring lectures and introductory graphics

It showshow to interface and grab data fromsensors like Vibration, Temperature, Humidity, Pressure

It teaches how to post / visualizethe 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 worldusing 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 IOTApps underlimited budget