What you will Learn

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The Artificial Intelligence of Things (AIoT) is the combination of Artificial Intelligence (AI) technologies with the Internet of Things(IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.


You will Learn

  • Gain knowledge and understanding of fundamental IOT paradigms, architectures, Machine Learning Algorithms and Computer Vision
  • The basic usage of the Arduino, Raspberry Pi & Node MCU environment for creating your own embedded projects at low cost
  • Learn Cloud dB’s such as Blynk, Thingspeak and IFTTT
  • Python, Embedded C Programming will be covered.
  • Learn Machine Learning with Python, Scikit Learn, Matplotlib, Numpy and pandas
  • Generating data from Internet of Thing (IoT) devices and apply data analytics
  • Master in Supervised and Unsupervised learning concepts and Modeling.
  • Understand the operation of linear regression, polynomial regression, anomaly detection, z-score  analysis, Support vector machines, decision tree, K-nearest neighbors and  K means clustering.
  • Face Recognition using OpenCV and Deep Learning 

 

Course Duration and Fee

Duration: 7days/ 15 days / 30 days (50 hours) Classroom Training

Fee: INR 8,850/- (Including Training, Certificate, Kit and IoT iLead Membership)

**Group Discounts available

Next Batch starting from 15 April 2020 at Vizag (Visakhapatnam) ! Enroll Now

Internet  of Things (IoT) Summer Internship batches starts from 15 April 2020.  Limited seats available. Book seat in advance by paying RS 1000/-

More than 25 Real Time Projects

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  • Project 1: Voice Controlled Home Automation using Smartphone
  • Project 2: Control RGB Led lights using App
  • Project 3: Developing Smart Workspace Based IOT with Artificial Intelligence Using Telegram Chat bot
  • Project 4: Artificial Intelligence-Based Chat bot for Appliance Control
  • Project 5: Use Arduino to upload free data from Environmental Sensors to Thing speak Cloud Server. 
  • Project 6: Automatically Tweet Sensor Data on Twitter
  • Project 7: Smart Applet projects based on IFTTT
  • Project 8: Panic Alaram Health product using NodeMCU and BLYNK APP
  • Project 9: Motion Sensor based Home automation
  • Project 10: Notification cube for alerts
  • Project 11: LED Blinking using Python Raspberry pi library
  • Project 12: Temperature and Humidity sensing using DHT-11 sensor and Raspberry Pi
  • Project 13: Motion detection using Raspberry pi
  • Project 14:Sending Sensor Data to Cloud using Raspberry Pi
  • Project 15: Sending emails through your Gmail account
  • Project 16: Sending email alerts when Motion detected using PIR sensor
  • Project 17: Bit coin Alert System
  • Project 18: Predicting Rain by using Simple Logistic Regression
  • Project 19: Predicting Number Of Bike Sharing Users using simple linear Regression Model
  • Project 20: Fake news detection using Passive Aggressive (PA) algorithm
  • Project 21: Temperature Prediction using Polynomial Regression
  • Project 22: Restaurant Recommendation System
  • Project 23: Sentiment Analysis SVM
  • Project 24: Smart Refrigerator by using interquartile range (Anomaly Detection) 
  • Project 25: IOT Based Smart Irrigation controller
  • Project 26:Face Recognition using OpenCV and Raspberry Pi
  • Project 27:Smart Doorbell with Face Recognition using OpenCV and Raspberry Pi

Downloads

AIoT_Summer_Internship2020 (pdf)

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