ROBOAIA Paths

Courses We Offer

1. Junior Level

Duration: 15 Classes
Level: Beginners
Age: 7 to 9

Description:

Learn the fundamentals of robotics, including basic mechanical design, sensors and actuators. This course provides a hands-on introduction to building and programming simple robots.

Key Topics:
  • Basics of robotics
  • Introduction to sensors and actuators
  • Basic robot programming
  • Simple robot building projects

2. Robo Expert

Duration:- 15 Classes
Level:- Intermediate
Age:- 10 to 12

Description:

Dive deeper into the world of robotics with advanced topics such as robotic kinematics, dynamics, and automation systems. Gain practical experience with complex robotic systems and automation technologies, Basics of AI.

Key Topics:
  • Robotic kinematics and dynamics
  • Automation systems
  • Advanced programming for robots
  • Real-world applications and projects
  • IOT and AI

3. Robo Advance

Duration: 15 Classes
Level: Expert
Age:- 13 and Above

Description:

Master the programming languages and tools essential for robotics. This course covers Python, C++ and focusing on coding practices and algorithms used in robotics, Concept of Machine Learning.

Key Topics:
  • Python for robotics
  • C++ for Robotics
  • Machine Learning
  • Coding algorithms for robotics
  • IOT and AI

4. Coding

Level 1:- Game Designer, Animation, Story Telling, App Inventor etc (15 classes)
Leve 2:- HTML, CSS and JavaScript (10 classes)
Level 3:- Basic Python, Advance Python, C++, (15 classes)

Description:

Discover the basics of artificial intelligence and its applications. Learn about machine learning, neural networks, and AI algorithms that power modern technology.

Key Topics:
  • Fundamentals of AI
  • Machine learning basics
  • Neural networks
  • AI applications and case studies

5. Mechatronics Courses

Duration: 25 Classes
Level: Advanced

Description:

This course is a walkthrough in the world of Robotics and extends from beginner to advance levels. Core concepts of Robotics explained in a crisp and lucid manner. By the end of this entire module, you will be aware of different kinds of industrial robots, various sensing, and locomotion mechanisms and finally, learn to develop mathematical models for positioning and controlling these robots
Explore the intersection of machine learning and robotics. This course covers advanced AI techniques, including deep learning, reinforcement learning and their applications in robotic systems.

Key Topics:
  • Deep learning for robotics
  • Reinforcement learning
  • AI-driven robotic applications
  • Hands-on projects and case studies

Unlock Your Potential with Our Web Development Course!

Course Duration: 40 Hours

Topics Covered:
  • HTML & CSS: Structure and style your web pages
  • JavaScript: Add interactivity and dynamic features
  • Responsive Design: Create mobile-friendly websites
  • CMS: Learn CMS