Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 56 Minute(s)
Language
English
Taught by
Guha Rajan M., B.Engg, MBA
Rating
Course Overview
Become IOT expert with Arduino, NODE MCU ESP 8266/ESP 32 & Raspberry Pi - using sensors, micro-python and cloud platform
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!!!.
Course Content
- 12 section(s)
- 44 lecture(s)
- Section 1 Internet of things - Introduction and its components
- Section 2 Arduino Uno
- Section 3 Simulated Case study - Humidity Control using Arduino Uno
- Section 4 NODE MCU :ESP8266-12E - Micropython and Esplorer IDE
- Section 5 NODE MCU - ESP8266 12E- Interfacing with Cloud
- Section 6 New - ESP 32 board comparison overview with ESP3266
- Section 7 Voice based - IOT for smart building application
- Section 8 Rasberry PI
- Section 9 Raspberry PI 3 interfacing to sensor and communication to cloud
- Section 10 New - Raspeberry Pi 4 Vs Raspberry Pi3 Mobel B Comparison
- Section 11 IOT Communication Challenge - New communication technology adoption - LoRawan
- Section 12 Bonus Lecture
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
Skills covered in this course
Reviews
-
NNirmala Sanikommu
Yes.
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AAron Ayub
good course, recommended for any beginner.
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VVijay Patel
It was good
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SShailesh Vikram Singh
Software part is great in this course but hardware portion is not at all good. Just showed some demo video of hardware integration. Actually I am software engineer and don't have knowledge on hardware side how to integrate board, sensors and other electrical components etc. But this course does not focus on hardware part.
