AI+ Robotics Course Online

9 Lesson

30 Hours

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igmGuru offers the best AI Robotics course online for learners across the globe. This in-depth robotics training program covers essential topics such as robot perception, autonomous navigation, computer vision, machine learning, and reinforcement learning. Our AI Robotics course modules are created by industry experts with over 10 years of experience in robotics and artificial intelligence. Enroll today in this AI-powered robotics training to gain hands-on skills and advance your career in robotics and intelligent systems.

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Overview

Prerequisites:

Basic knowledge of Python programming
Understanding of linear algebra and calculus
Familiarity with machine learning concepts
Fundamental knowledge of robotics

What You Will Learn:

How AI integrates with robotic hardware and software
Implementing perception through computer vision and sensors
Developing autonomous navigation systems using path planning and SLAM
Applying machine learning & reinforcement learning to robotics
Using ROS to build and simulate robotic systems
Real-world applications of AI in robotics (e.g., drones, mobile robots, service robots)

Key Features

Get Certified & Get Placed
Instructor Led Training : 30 Hrs
1 On 1 Training Option Available
24 X 7 Lifetime Support & Access

Course Curriculum

Lesson 1 - Introduction to AI in Robotics

1. Role of AI in modern robotics

2. Types of robots and their AI capabilities

3. Overview of sensors, actuators, and control systems

Lesson 2 - Python for Robotics Programming

1. Python tools and libraries for robotics (NumPy, OpenCV, ROSPy)

2. Writing your first robotic control script

3. Simulating simple robotic actions

Lesson 3 - Robot Operating System (ROS)

1. Introduction to ROS and its architecture

2. Creating nodes, publishers, and subscribers

3. Integrating sensors and controlling actuators with ROS

Lesson 4 - Perception and Computer Vision

1. Camera calibration and image processing

2. Object detection with OpenCV and Deep Learning

3. Sensor fusion: combining vision with LIDAR/IMU

Lesson 5 - Path Planning and Navigation

1. Introduction to path planning algorithms (A*, Dijkstra, RRT)

2. Obstacle avoidance and trajectory generation

3. SLAM (Simultaneous Localization and Mapping)

Lesson 6 - Machine Learning for Robotics

1. Supervised and unsupervised learning in robotics

2. Classification and regression for sensor data

3. Integrating ML models into ROS-based systems

Lesson 7 - Reinforcement Learning for Control

1. Basics of reinforcement learning (RL)

2. Training agents using OpenAI Gym and ROS environments

3. Applications in robotic arm control and autonomous vehicles

Lesson 8 - Autonomous Robotic Systems

1. Building a fully autonomous robot

2. Use case: indoor navigation or drone flight

3. Testing and deployment strategies

Lesson 9 - Real-World Applications & Capstone Project

1. Industrial, healthcare, and consumer applications

2. Final project: Build and simulate a robot solving a real-world task

3. Evaluation and feedback

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+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 30 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 07 Jun 2026
Weekday Batch 08 Jun 2026
Weekend Batch 13 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

AI Robotics Certification

Upon successful completion of the AI Robotics course and final capstone project, learners will receive an AI Robotics Course Completion Certificate from igmGuru. This certificate validates your knowledge and hands-on skills in robotic control, computer vision, autonomous navigation, machine learning, and AI-driven system development using tools like Python and ROS.

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AI+ Robotics Course Online