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Day 1-Introduction to IoT
Day 2-Choosing the Right Processor and Right IoT Communication Protocol
Day3- Introduction to NodeMCU and ESP32
Day4- Introduction to Iot Clouds,Analytics & Datascience
Day 5-Sensors for IoT
Day 6-Sending Data to Thingspeak -Arduino+Humidity+Air quality(Weather monitoring system)
Day 7- How to Analyze IoT Data in ThingSpeak (Traffic Analysis monitoring)
Day 8- Deploying a Neural network Model on the Cloud
Day 9 -Plant Watering System with Soil Moisture sensor and Esp32
Day10- Smart Humidity Sensor with Thingspeak and IFTTT
Day11-Introduction to Microsoft Azure
Day12-Implementing IoT with Azure -(Sending Data to Azure Iot Hub using ESP32)
Day 13-Visualize real-time sensor data from Azure IoT Hub using Power BI
Day14-How to build a Custom Vision in Microsoft Azure
Day15 -Smart Weather Monitoring System using Microsoft IoT hub and Logic Apps
Day16-Home automation using Google Assistant
Day17- Publishing Sensor Readings to Excel Sheet and Generate Alert
Day 18- Video streaming using ESP32CAM and Blynk APP
Day 19- Windmill Case Study -Communication using Lora and Wifi
Day 20 -Predictive maintenance of Duct Fan using Thingspeak , IFTTT and Matlab
Day 21- Introduction to AWS IoT
Day22- Send ESP32 Data to AWS IoT Core -MQTT
Day 23-HTTP Arduino sketch to AWS IoT Core for the ESP32
Day 24- Introduction to SNS Notifications
Day25 -IoT Analytics and AWS Quicksight
Day 26 - AWS Lambda Functions for IoT
Day27 - Storing Data in AWS Dynamodb from AWS IoT Control
Day 28 Using Mongoose OS on embedded devices for AWS IoT
Day 29 AWS Device Shadows and multiple Pub/Sub’s
