Hours : Mon To Fri - 10AM - 04PM, Sunday Closed

80 Hours Course Master

Student

Course Fee: Rs.24900.00 + 18% GST


Introduction to robotics - 4 hr



Learning Outcome and Projects 



  • Revision of Robot Electronics , Mechanics & Coding – Robust level

  • Revision of Drones , 3D printing & modelling , VR & Humanoid – Robust level

  • Revision of Computer Science Coding - Robust




Robot- Electronics - 4 - 10 hr



Learning Outcome and Projects



  1. Robot arm connections – Circuitry

  2. Robot arm connections Calibration of servos

  3. Automated Pick and Place Robotic Arm – Connections

  4. Humanoid bipedal robot – connections

  5. Humanoid bipedal robot – circuit designing

  6. Smartphone controlled humanoid bipedal robot

  7. Smartphone controlled humanoid bipedal robot

  8. Ultrasonic RADAR system

  9. Intrusion Detection System





Robot - Coding - 4 - 8 hr



Learning Outcome and Projects



  1. Computer-Controlled Robotic Arm

  2. Smartphone-Controlled Robotic Arm

  3. Automated Pick and Place Robotic Arm – Programming

  4. Smartphone controlled humanoid bipedal robot

  5. Computer Controlled humanoid bipedal robot





Robot - Coding - 4 - 6 hr



Learning Outcome and Projects



  1. Controls Of An Airplane

  2. Controls Of A Drone

  3. BUILDING THE DRONE – PLUTO

  4. TEST FLIGHT

  5. Controlling and programming Sensors





Drones – 4 - 6 hours



Learning Outcome and Projects



  1. Controls Of An Airplane

  2. Controls Of A Drone

  3. BUILDING THE DRONE – PLUTO

  4. TEST FLIGHT

  5. Controlling and programming Sensors

  6. Accelerometer

  7. gyroscope

  8. Drone Piloting Observation
  9. Step farming– with script

  10. Delivery drone – with script

  11. Snake drone– with script

  12. Space drone– with script

  13. Treasure hunt drone– with script

  14. Racing drone– with script
  15. Autonomous drone– with script
  16. Hover Craft
  17. Land Rover Craft


3D – Modelling - 2A – 4 hr



Learning Outcome and Projects



  1. Random Shapes

  2. Robotic chassis

  3. Parts of Robot

  4. Creative Modelling activity





3D – Printing - 2A – 4 hr



Learning Outcome and Projects



  1. Random Shapes

  2. Robotic chassis

  3. Parts of Robot

  4. Creative Model printing activity





Humanoid – 4 – 12 hr



Learning Outcome and Projects



  1. Construction and Assembly of Humanoid

  2. Changing RGB Animator for JD – Ez script

  3. Visual Object Recognition – Ez script

  4. Coding walking Forward , left , right , backward – Ez script

  5. Multiple Actions coding with Humanoid - Ez script
  6. Multiple Actions coding with Humanoid - Ez script

  7. Coding for Robot to Dance- Ez script

  8. Teaching JD Humanoid to Dab! - Ez script

  9. Teaching JD Humanoid to Dance- Ez script

  10. Teaching JD Humanoid to Dab! - Ez script

  11. Creating a Mobile App- Ez script





Virtual Reality / AR - experience & CREATIONS – 3 - 6 hr



Learning outcome and projects



  1. VR (Virtual Reality) mode

  2. AR (Augmented Reality) mode

  3. Register, Create, Explore

  4. Develop 3D creation skills

  5. Working with variables , lists functions

  6. Screen templates and Camera movements

  7. Editor, Navigation, Building, Co locks

  8. Play mode & Gyro mode of VR headset

  9. VR (Virtual Reality) mode & AR (Augmented Reality) mode

  10. Advance VR environment Creation - 1

  11. Advance VR environment Creation – 2
  12. Advance VR environment Creation – 3

  13. Advance VR environment Creation - 4





Coding - Computer science / Technology - 4 - 12hr



Python in AI and ML programming (advance)



Learning outcome and Projects



  1. What is machine learning?

  2. Why machine learning?

  3. When should you use machine learning?

  4. Types of Systems of Machine Learning

  5. Supervised and unsupervised learning

  6. Reinforcement Learning

  7. Instance based learning
  8. Model-based learning

  9. Measures of Performance

  10. Confusion Matrix

  11. Recall Trade-off ROC

  12. Multi-class Classification

  13. Training a Random Forest Classifier

  14. TRAINING A MODEL

  15. Linear Regression

  16. Computational Complexity

  17. Types of Descent

  18. Polynomial Regression

  19. Learning Curves

  20. Regularized Linear Models

  21. Ridge & Lasso Regression

  22. 3 Basic using the above features

  23. 4 Advance MI & AL using the above feature