ROBOTICS TRAINING
Requirements
- Educational & Professional Background
- Prerequisite Skills
- Software & Hardware Requirements
- Learning Objectives
Features
- Hands-On Robotics Projects – Build and program real-world robots using Arduino, Raspberry Pi, and microcontrollers.
- AI & Computer Vision Integration – Learn how to incorporate machine learning and computer vision into robotics applications.
- Embedded Systems & IoT Connectivity – Work with sensors, actuators, and wireless communication to create smart robots.
- Autonomous Robotics & Motion Control – Design robots with path planning, obstacle detection, and real-time decision-making capabilities.
- Industry Applications & Career Guidance – Explore robotics use cases in manufacturing, healthcare, defense, and automation, with job placement support.
Target audiences
- Students & Engineering Graduates – Individuals pursuing careers in robotics, automation, and AI-driven technologies.
- Electronics & Mechanical Engineers – Professionals looking to expand their expertise in embedded systems and robotic applications.
- Software Developers & AI Enthusiasts – Programmers interested in integrating artificial intelligence, machine learning, and computer vision into robotics.
- Hobbyists & DIY Makers – Robotics enthusiasts who want to build and program their own robots for personal or competitive projects.
- Industry Professionals & Researchers – Individuals working in industrial automation, IoT, or autonomous systems who want to enhance their robotics knowledge.
Course Description
The Robotics Training program is designed for students, engineers, and professionals who want to learn the fundamentals of robotics, automation, and artificial intelligence. This course provides hands-on experience in designing, programming, and controlling robots using Arduino, Raspberry Pi, and AI-driven automation.
- Introduction to Robotics & Automation
- Robotics Hardware: Sensors, Actuators, and Controllers
- Microcontrollers & Microprocessors (Arduino, Raspberry Pi)
- Embedded Systems & IoT Integration in Robotics
- Programming Robots using Python & C++
- Artificial Intelligence & Machine Learning in Robotics
- Computer Vision & Image Processing for Robotics
- Autonomous Navigation & Path Planning
- Industrial Robotics & Applications
Basic programming knowledge (Python or C++) is recommended, but beginners will be introduced to coding concepts as part of the course.
Some modules may require Arduino, Raspberry Pi, sensors, and motors, but simulation tools like Gazebo and MATLAB will also be used for virtual practice.
Graduates can pursue roles in robotics engineering, automation, AI-driven robotics, IoT, and industrial robotics in industries like manufacturing, healthcare, and defense.
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