RoboPremeir [Level - Advanced]

This advanced course takes your robotics knowledge to the next level by focusing on Artificial Intelligence (AI), machine learning, automation, and advanced control systems. You will build intelligent robots that can make decisions, solve complex tasks, and adapt to different environments using AI algorithms and real-time data.
4.5/5
1000+ Students
Advanced
English
Available Coaching Centers:
No coaching centers found in this location. Please try another area.

School

โ‚น 699/class

โ‚น 899/class

Any Query?

Course Description

In this advanced-level robotics course, you will dive deeper into how robots think, learn, and adapt. Building on your previous knowledge, this course introduces Artificial Intelligence (AI), automation techniques, and sensor integration to create smarter and more responsive robots. You will explore machine learning algorithms, design autonomous navigation systems, and learn how to control robotic systems in real-world environments. 

Through challenging hands-on projects, you will program intelligent robots that can analyze data, recognize patterns, and make decisions on their own. By the end of this course, youโ€™ll be ready to apply these concepts in practical scenarios like autonomous vehicles, industrial automation, and smart systems.

What you will Learn:

  • How AI and machine learning enhance robotic decision-making
  • Advanced programming for autonomous robots
  • Using computer vision and sensors for navigation
  • Designing and implementing path planning algorithms
  • Building and programming self-learning robots
  • Understanding Internet of Things (IoT) for robotics communication
  • Exploring real-world applications like drones, autonomous cars, and smart industries

โ€ข Understanding AI and Machine Learning
โ€ข Role of AI in Modern Robotics
โ€ข Basics of Neural Networks and Pattern Recognition

โ€ข Writing Complex Control Algorithms (Python/C++)
โ€ข Using AI to Enhance Robot Functionality
โ€ข Creating Adaptive and Learning Algorithms

โ€ข Introduction to Computer Vision
โ€ข Using Cameras and Sensors for Object Detection
โ€ข Processing Sensor Data for Decision-Making

โ€ข Algorithms for Obstacle Detection and Avoidance
โ€ข Creating Maps and Path Planning for Robots
โ€ข Implementing SLAM (Simultaneous Localization and Mapping)

โ€ข Basics of IoT and Communication Protocols
โ€ข Integrating IoT with Robotics Systems
โ€ข Real-Time Monitoring and Control of Robots

โ€ข Designing Autonomous Vehicles and Drones
โ€ข Industrial Automation Using AI-Powered Robots
โ€ข Case Studies: Smart Cities and AI Robotics

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Robotics

School

โ‚น 699/class

โ‚น 899/class

Any Query?

Course Includes
Lectures
N/A Classes
Duration
N/A Hours
Level
Beginner
Language
English
Certificate
Yes
Available Coaching Centers:
No coaching centers found in this location. Please try another area.
Course Includes
Lectures
10 Classes
Duration
N/A Hours
Level
Beginner
Language
English
Certificate
Yes

Learning Path

Beginner
beginner
Intermediate
intermediate
Advanced
advanced
Master
master

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