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Courses And Workshops

Courses And Workshops

General Overview

At iSmriti, for college students, we design and create, based on the latest developments, trends and demands in technology markets, various job oriented and technically rigorous course curriculums in IoT, Artificial Intelligence and Robotics.
Based on the developed courses, we provide special training and certification courses to interested candidates. We are fully committed to impart world class analytical and hands-on experience to young STEM graduates and enthusiasts to equip them with latest cutting edge technical skills that will help them grab a fantastic job opportunity in rapidly expanding IoT, Artificial Intelligence and Robotics markets.

We also conduct exciting and insightful sessions in IoT & Robotics for school students of various grades. These hands-on sessions not provide a great deal of knowledge to school kids but also create a deep level of curiosity and inquisitiveness in them. These events trigger the engine of creativity in kids that drives them further to create wonderful innovate projects and socially useful ideas and products.

Major Themes in workshops

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Course Instructors

  • Prof. Laxmidhar Behera, EE, IIT Kanpur
  • Dr. Himanshu Singh, PhD, National University of Singapore
  • Mr Archit Krishna Kamath, EE, IIT Kanpur
  • Dr. Amit Shukla, ME, Khalifa University

Guest Instructors

  • Dr. Pawan Goyal, CSE, IIT Kharagpur
  • Prof Ranjan Kumar Behera, EE, IIT Patna
  • Dr. Santhakumar Mohan, ME, IIT Indore
  • Dr Swagat Kumar, TCS Innovation Lab, Bangalore
  • Dr Prem Kumar, GE, Bangalore

Typical Course Modules

 Day Module Description
 1 1Introduction to IoT and AI:
  1.  Basics of Actuators and Sensors
  2.   Basics of IoT architecture
  3.   Basics of AI (Neural Networks and Fuzzy Logic Networks)
  4.  Application of Iot, AI and its merger in today’s Technology

EXTRA:

  1. Call for ideas and guidelines for submission.
 2 2AArduino Based IoT application: (Part-1)
  1. Introduction to Arduino Programin
  2. Arduino shields description and interfacing
  3. Experiments with Arduino Hardware and sensor interfacing procedures.
 3 2BArduino Based IoT application: (Part-2)
  1.  IoT based actuator operation using Arduino   
  2. Automatic Lighting control using IoT
  3. Smart Irrigation using IoT
 4 3A Application of Raspberry-Pi in IoT: (Part-1)
  1.  Introduction to R-pi and its Programming 
  2. R-pi hardware interfacing and applications
 5 3B Application of Raspberry-Pi in IoT: (Part-2)
  1. Smartphone interfacing with R-pi
  2.  Wi-fi module interfacing with R-pi and associated applications
 6-7 P1 Design of a mobile controlled robot using R-Pi and Arduino:
  1. Students must develop algorithm to control a 2 wheeled robot using a mobile phone and Wi-fi (An application in IoT)

EXTRA:

  1. Guest Lecture
 84A Neural Networks: (Part-1)

Morning Session:

  1. Back-propagation Algorithm and its application
  2. Radial-basis function Algorithm and its application

Afternoon Session:

  1. Introduction to MATLAB Coding
  2. Back-propagation application for system identification using MATLAB
  3. RBFN system identification using MATLAB
 9 4BNeural Networks: (Part-2)

Morning Session:

  1. Back-propagation through time Algorithm and its application
  2. Real-time Recurrent Network  and its application

Afternoon Session:

  1.         BPTT system identification using MATLAB
  2.      RTRN system identification using MATLAB
 10 4C Neural Networks: (Part-3)

Morning Session:

  1. KSOM algorithm and its application

Afternoon Session:

  1.           KSOM Algorithm implementation in MATLAB.

EXTRA:

  1. Proposal submission on ideas regarding IoT.
 11-12 4D Neural Networks: (Part-4) (Special Topics in Neural Networks)
  1.          Deep Learning Networks and its application in image reconstruction
  2.          CNN application in facial recognition and emotion detection
  3.      BP Application for Quadrotor Control.
 13-14 P2Student Assignment:
  1. KSOM Based system identification of a 2-link manipulator
 15 - Concluding Remarks and Certificate Distribution

 Day Module Description
 1 1Introduction to IoT and AI:
  1.  Basics of Actuators and Sensors
  2.   Basics of IoT architecture
  3.   Basics of AI (Neural Networks and Fuzzy Logic Networks)
  4.  Application of Iot, AI and its merger in today’s Technology

EXTRA:

  1. Call for ideas and guidelines for submission.
 2 2AArduino Based IoT application: (Part-1)
  1. Introduction to Arduino Programin
  2. Arduino shields description and interfacing
  3. Experiments with Arduino Hardware and sensor interfacing procedures.
 3 2BArduino Based IoT application: (Part-2)
  1.  IoT based actuator operation using Arduino   
  2. Automatic Lighting control using IoT
  3. Smart Irrigation using IoT
 4 3A Application of Raspberry-Pi in IoT: (Part-1)
  1.  Introduction to R-pi and its Programming 
  2. R-pi hardware interfacing and applications
 5 3B Application of Raspberry-Pi in IoT: (Part-2)
  1. Smartphone interfacing with R-pi
  2.  Wi-fi module interfacing with R-pi and associated applications
 6-7 P1 Design of a mobile controlled robot using R-Pi and Arduino:
  1. Students must develop algorithm to control a 2 wheeled robot using a mobile phone and Wi-fi (An application in IoT)

EXTRA:

  1. Guest Lecture
 84A Neural Networks: (Part-1)

Morning Session:

  1. Back-propagation Algorithm and its application
  2. Radial-basis function Algorithm and its application

Afternoon Session:

  1. Introduction to MATLAB Coding
  2. Back-propagation application for system identification using MATLAB
  3. RBFN system identification using MATLAB
 9 4BNeural Networks: (Part-2)

Morning Session:

  1. Back-propagation through time Algorithm and its application
  2. Real-time Recurrent Network  and its application

Afternoon Session:

  1.         BPTT system identification using MATLAB
  2.      RTRN system identification using MATLAB
 10 4C Neural Networks: (Part-3)

Morning Session:

  1. KSOM algorithm and its application

Afternoon Session:

  1.           KSOM Algorithm implementation in MATLAB.

EXTRA:

  1. Proposal submission on ideas regarding IoT.
 11-12 4D Neural Networks: (Part-4) (Special Topics in Neural Networks)
  1.          Deep Learning Networks and its application in image reconstruction
  2.          CNN application in facial recognition and emotion detection
  3.      BP Application for Quadrotor Control.
 13-14 P2Student Assignment:
  1. KSOM Based system identification of a 2-link manipulator
 15-165 ROS:
  1.          Introduction to ROS
  2.          Introduction to Gazebo Platform
  3.          Subscribe and publish operation
  4.          Sensor and actuator interface using ROS

EXTRA:

  1. Guest Lecture
 17-18 P3Student Assignment:
  1. Implementation of a neural network based scheme for collision avoidance of a ground vehicle (Gazebo and hardware)
 19 6 Fuzzy Logic:

Morning Session

  1.          Basics of fuzzy and problem formulation
  2.          Rule base generation
  3.          Membership function

Afternoon Session:

  1. Basics of controller design using fuzzy logic (MATLAB Coding)
 20 7 Advance Topics in IoT:
  1.          Cloud Computing
  2.          Data transfer to cloud using arduino
  3.          Popular Cloud Computing Services for Sensor Management
  4.      Big Data and IoT applications in Big Data
 21-23 P4 Student Assignment:
  1.          Automatic medicine dispenser using IoT
  2.      Burglar alarm design using IoT
 248
  1. Special Topics in AI
  2. Guest lecture by industrial experts
 25 - Concluding Remarks and Certificate Distribution

Express your interest

Previous Events

IIT Kanpur in collaboration with MHRD and iSmriti conducted a summer course on Introduction to AI and IoT to provide hands on experience in the respective fields of research and to orient students to the present industrial requirements. This course was designed to impart value addition for all college level students and enthusiasts. Students were taught basic foundations with the aid of lab-oriented experiments. By the end of the course, students were able to successfully build a small mobile robot prototype that was guided by AI principles. The course modules were designed by iSmriti with the help of experts from IITs. Experimental facilities and module wise logistics were provided by iSmriti. More