JOB ORIENTED SHORT TERM TRAINING COURSE

Learn At IIT- KANPUR

TRAINING COURSES ON ARTIFICIAL INTELLIGENCE (AI),INTERENT OF THINGS (IoT)
AND ROBOTICS FOR STUDENTS AND PROFESSIONALS

Register
JOB ORIENTED SHORT TERM TRAINING COURSE

Learn At IIT- KANPUR

TRAINING COURSES ON ARTIFICIAL INTELLIGENCE (AI),INTERENT OF THINGS (IoT)
AND ROBOTICS FOR STUDENTS AND PROFESSIONALS

Register
JOB ORIENTED SHORT TERM TRAINING COURSE

Learn At IIT- KANPUR

TRAINING COURSES ON ARTIFICIAL INTELLIGENCE (AI),INTERENT OF THINGS (IoT)
AND ROBOTICS FOR STUDENTS AND PROFESSIONALS

Register
JOB ORIENTED SHORT TERM TRAINING COURSE

Learn At IIT- KANPUR

TRAINING COURSES ON ARTIFICIAL INTELLIGENCE (AI),INTERENT OF THINGS (IoT)
AND ROBOTICS FOR STUDENTS AND PROFESSIONALS

Register

About Courses

Internet of Things (IoT), Artificial Intelligence (AI), and Robotics, relatively new entrants in the digital world have already marked their benchmarks among the IT professionals and organisations. As AI, IoT & Robotics are becoming real for more businesses across the globe, beginning a career as an AI & IoT professional can be valuable for graduate students as well. Similarly, Artificial Intelligence and robotics are the blooming thing and its culture must be practiced and discussed in order to make us self-meet the demand of future.

IIT Kanpur in collaboration with MHRD Teach Tech Services and iSMRITI is conducting training courses on Introduction to AI, IoT & Robotics to provide hands on experience in the field of Artificial Intelligence, IoT, & Robotics to orient students towards the present industrial scenario. This course is designed to impart value addition for all students who are pursuing their relevant degrees. Students will be taught basic foundations with the aid of well developed theoretical modules and lab-oriented experiments. A student taking up this course will be able to build a small prototype that is powered by IoT and AI principles.


Course Features

  • Duration40 Days
  • EligibilityB.Tech Students & Faculty
  • LanguageEnglish
    •  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


Details

Start:
3rd June
End:
12th July
Website:
https://teachtechin.com/iitk

Venue

  • Indian Institute of Technology Kanpur (IIT-K), Uttar Pradesh
Phone:
+91 9023647226 | +91 7888696365

Organizer

Teach Tech, iSmriti & IIT-KANPUR

Training Details

  • 40 Days Class Room Training
  • Classroom & hands-on sessions will be conducted in IIT Kanpur; Last 15 days, participants will be engaged in various project works at IIT Kanpur
  • Certificate to all participants from IIT-KANPUR

Our IIT's Faculty

  • team1

    Dr Laxmidhar Behera

    Professor, IIT Kanpur

  • Faculty

    Dr. Himanshu Singh

    PhD, NUS Singapore; B.Tech-M.Tech, IIT Kanpur
  • Faculty

    Dr. Amit Shukla

    PhD, Imperial College,London, B.Tech-M.Tech, IIT Kanpur
  • Faculty

    Mr. Jyoti Prakash Mishra

    IIM Kolkata, PGDESD-CDAC

  • Faculty

    Dr. Vipul Arora

    Faculty, IIT Kanpur


  • Faculty

    Dr. Pawan Goyal

    Professor, IIT Kharagpur, PhD(NLP), UK; B.Tech(EE),IIT Kanpur

Benefits

Trending in Job Market

Highly sought after courses for upcoming trends in AI and IoT job market. Industry oriented skillset building from scratch to expert level.

Dedicated Job Support

Placement Assistance. Opportunities for internships & jobs in our international network of MNCs & IITs.

Extensive Technical Guidance

Full guidance with necessary langauage, software ( Python, TensorFlow, Keras, etc.. ) and platforms

Activity Based Learning

Case study and Project-driven learning methodology. Extensive hands-on experience both in software and hardware.

Qualified Team

Expert instructors from IITs and Industries

Certified from Premier Institute

Certificate from IIT Kanpur.

PAYMENT

 

Course Name Category Course Fee Stay & Food
Introduction to AI, IoT & Robotics - Extended Student 13,500 6,000
Professional 22,500 6,000