Intro to Robotics
Learn the fundamentals of mechanical engineering and sensor integration.
Ready to continue your robotics journey today?
Learn the fundamentals of mechanical engineering and sensor integration.
Deep dive into perceptrons, backpropagation, and building your first model.
Design navigation algorithms for self-driving bots in simulated environments.
Explore our comprehensive curriculum in robotics and AI.
| Course Name | Category | Duration | Level | Instructor | Action |
|---|---|---|---|---|---|
|
Intro to Robotics
ROB-101
|
Hardware | 8 Weeks | Beginner | Dr. Alan Grant | |
|
AI Neural Networks
AI-201
|
Software | 12 Weeks | Intermediate | Prof. Sarah Connor | |
|
Autonomous Systems
ROB-305
|
Integration | 16 Weeks | Advanced | Dr. Miles Dyson | |
|
Computer Vision Basics
AI-105
|
Software | 10 Weeks | Beginner | Prof. Sarah Connor |
Master the fundamentals of robotics, from mechanical design to sensor integration. This comprehensive course covers the essential building blocks of modern autonomous systems, providing hands-on experience with standard industry hardware.
Kinematics, dynamics, and basic structural design.
Understanding motors, servos, lidar, and ultrasonic sensors.
C++ for Arduino and Python for Raspberry Pi.
Module 3: Microcontroller Programming
Module 1: Introduction
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Issued on Oct 12, 2023
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| Course Name | Status | Students | Rating | Actions |
|---|---|---|---|---|
| Intro to Robotics | Published | 850 | 4.9/5.0 | |
| Advanced Mechatronics | Draft | - | - |
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