Example Curriculum

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