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