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FREE 30 Days IoT Master Class series

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What you will learn on this 30 Days Master class? | Application-based Learning


Program the ESP8266, ESP32, or Raspberry Pi 3 to send data to AWS IoT Core
Connect to AWS free Tier and use relevant AWS services
Understand MQTT, JSON, IoT, and the AWS cloud
Become familair with device to cloud communication
Place IoT data into Dynamo DB by creating a table and data fields
Gain competency designing graphs and using analytics on IoT data
Code with basic programming structures in JavaScript, Python, and C
Get experience with many AWS services vital to IoT like DynamoDB and S3
Learn to Create Security certificates and policy’s in AWS IoT
How to used thigspeak ,deploy machine learning model on cloud
How to use Microsofoft Azure for Iot
Gain experience with AWS serverless services such as Lambda, S3, API Gateway, DynamoDB, and IoT Analytics
Become familiar with device to cloud communication
Learn how to host static websites on AWS s3 and set bucket permissions and CORS
Gain competency understanding visualizations in JavaScript with IoT data

Daywise Agenda

IoT Introduction and Architectures

✔DAY–1 Introduction to IoT
✔DAY–2 IoT Communication Protocols
✔DAY–3 Introduction to ESP32 and NodeMCU
✔DAY–4 Iot Clouds,Analytics & Datascience
✔DAY–5 Sensors for IoT

IoT using Thingspeak

✔DAY – 6 Sending Data to Thingspeak -Arduino+Humidity+Air quality(Weather monitoring system)
✔DAY – 7 How to Analyze IoT Data in ThingSpeak
✔DAY – 8 Deploying a Machine learning Model on the Cloud
✔DAY – 9 Thingspeak for IoT in agriculture
✔DAY – 10 Smart Humidity Sensor – ThingSpeak, MATLAB, and IFTTT

IoT with Microsoft Azure

✔DAY– 11 Introdcution to IoT with Microsoft Azure
✔DAY– 12 Implementing IoT with Azure
✔DAY– 13 Edge Computing and Analytics
✔DAY– 14 Coginitive services,Computer vision API
✔DAY– 15 Weather monitoring station using Microsoft Azure and Arduino

Iot Projects and Case Study

✔Day-16 Home automation using Google Assistant
✔Day-17 Industrial Iot using Zigbee and WIFI(Windmill case study)
✔Day-18 Recording sensor data to google sheet using IFTTT with Arduino and sending alerts
✔Day-19 Real time Video surveillance esp32cam and Blynk App
✔Day-20 Predictive Maintenance of a Duct Fan Using Nodemcu, ThingSpeak and MATLAB

IoT with AWS IoT

✔Day 21 Introduction to AWS IoT,Setting up Free tier AWS, AWS CLI, Policys, Security Credentials, and Testing
✔Day 22 Raspberry PI3 with AWS IOT SDK
✔Day 23 SNS Push Notifications,AWS IoT Analytics
✔Day 24 AWS Lambda Functions for IoT
✔Day 25 HTTPs Arduino sketch to AWS IoT Core for the ESP8266 and ESP32
✔Day 26 Using Mongoose OS on embedded devices for AWS IoT
✔Day 27 Storing data into the Dynamo Database from the AWS IoT control panel
✔Day 28 AWS Quicksight for data analytics and visulizations
✔Day 29 AWS Device Shadows and multiple Pub/Sub’s
✔Day 30 Weather monitoring station using AWS IOT

This Post Has One Comment

  1. Guru Charan

    Good Day Sir,
    Today Lessons learned Day 2:
    Take away

    1. How to choose the right processor for IOT for IOT communication protocols
    2. Type of Processors and controllers for IOT and Embeded System Devices.
    3. Microprocessor and Microcontrollers basics
    4. Basic Features of DSP
    5. Why do we need DSP Processors
    6. CPLD Vs FPGA (Architecture)
    7. DSP vs FPGA
    8. comparison of cost vs Performance with respect to Microcontroller, DSP, SOC, ASIC , FPGA
    9. Cryptographic Enabled processors
    10. Processor selection criteria
    11. Top communication protocols

    Note: Please like to note cyber security, protocols involved in PLC like Industrial controllers IIOTs

    Thanks & Regards,
    Guru Charan.R
    [email protected]

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