AI Robotics Training in Noida

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25 hrs of E-Learning Videos
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AI Robotics Course Overview

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Upcoming AI Robotics Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

AI Robotics Course Syllabus

Join our AI Robotics Course! Learn AI-powered robotics through computer vision, sensor fusion, machine learning, reinforcement learning, autonomous navigation, robot control, simulation, embodied AI, foundation models, and Vision-Language-Action technologies.

  • Robotics fundamentals and AI integration
  • Types of intelligent robots
  • Robot architectures and components
  • Sensors, actuators, controllers, and onboard computing
  • Autonomous vs semi-autonomous robots
  • Applications in manufacturing, healthcare, logistics, and service robotics
  • Python programming for robotics
  • Linear algebra
  • Probability and statistics
  • Coordinate systems and transformations
  • Vectors, matrices, and rotations
  • Basic optimization concepts
  • Robotics data processing
  • ROS 2 fundamentals
  • Nodes, topics, services, and actions
  • Publishers and subscribers
  • ROS 2 communication architecture
  • Robot simulation with ROS 2
  • Integrating sensors and actuators
  • ROS 2 deployment workflows
  • Camera and depth sensors
  • Image processing
  • Object detection and classification
  • Object segmentation
  • Pose estimation
  • Visual tracking
  • 3D perception
  • OpenCV and deep learning for vision
  • LiDAR, cameras, IMU, GPS, and force sensors
  • Sensor calibration
  • Multimodal sensor fusion
  • Localization
  • Kalman Filters
  • Extended Kalman Filters
  • Robot state estimation
  • Localization fundamentals
  • Mapping techniques
  • Occupancy grids
  • Visual SLAM
  • LiDAR-based SLAM
  • Simultaneous Localization and Mapping
  • Autonomous navigation maps
  • Forward and inverse kinematics
  • Trajectory planning
  • Path planning
  • A* and sampling-based planning
  • PID control
  • Motion control
  • Manipulator control
  • Whole-body control concepts
  • Supervised and unsupervised learning
  • Deep learning for robot perception
  • Behavioral prediction
  • Learning-based control
  • Representation learning
  • Robot datasets and training pipelines
  • Model evaluation
  • Reinforcement learning fundamentals
  • Markov Decision Processes
  • Reward design
  • Policy learning
  • Q-learning and policy-gradient methods
  • Imitation learning
  • Learning from demonstrations
  • Robot skill learning
  • Physics-based robot simulation
  • Digital environments
  • Synthetic data generation
  • Simulation-based training
  • Domain randomization
  • Sim-to-real transfer
  • Isaac Sim and Isaac Lab
  • Simulation-based policy evaluation
  • Embodied AI fundamentals
  • Perception, reasoning, and action
  • Multimodal models
  • Vision-language models
  • Natural-language robot interaction
  • World models
  • Robot reasoning and task planning
  • Sensorimotor learning
  • VLA model fundamentals
  • Vision-language-action pipelines
  • Foundation models for robotics
  • Multimodal robot reasoning
  • Language-conditioned manipulation
  • Robot policy models
  • Fine-tuning robot foundation models
  • Evaluation of learned robot policies
  • Humanoid robot architectures
  • Bipedal locomotion
  • Whole-body motion
  • Dexterous manipulation
  • Human-robot interaction
  • Teleoperation and demonstration collection
  • Humanoid robot learning
  • General-purpose robot skills
  • Autonomous navigation
  • Task planning
  • Behavior planning
  • Multi-step decision-making
  • Dynamic environments
  • Human-aware navigation
  • Multi-robot coordination
  • Autonomous task execution
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AI Robotics Projects

Enroll in our AI Robotics Course, Gain practical experience building intelligent robotic systems using AI, computer vision, ROS 2, sensor fusion, autonomous navigation, reinforcement learning, and robotic manipulation for real-world automation applications.

AI-Based Autonomous Mobile Robot

Build an autonomous mobile robot capable of navigating indoor environments without continuous human control. Students will integrate LiDAR, cameras, and IMU sensors, implement SLAM and localization, plan collision-free paths, and develop autonomous navigation using ROS 2.

AI Vision-Based Robotic Pick-and-Place System

Develop an intelligent robotic arm that identifies, locates, and picks objects using computer vision. Students will implement object detection, image processing, robotic arm control, coordinate transformation, motion planning, and automated placement for warehouse or manufacturing applications.

Project 3: Vision-Language AI Robot Assistant

Create an intelligent robot that understands natural-language commands and uses vision to perform physical tasks. Students will integrate vision-language models, speech or text commands, object recognition, task planning, and robotic actions to enable natural human-robot interaction.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mrs. Gowri
Experience
15+ Years
Specialized in
AI Robotics, Robotics Engineering, Robot Operating System (ROS 2), Computer Vision, Machine Learning, Deep Learning, Autonomous Navigation, Sensor Fusion, SLAM, Robot Control, Reinforcement Learning, Robotic Manipulation, Embodied AI, and Humanoid Robotics.
More Details
Mrs. Gowri is an AI Robotics professional with 15+ years of experience, specializing in robotics engineering, ROS 2, computer vision, autonomous navigation, SLAM, reinforcement learning, and humanoid robotics.

AI Robotics Course Objectives

Our AI Robotics Course provides practical knowledge of AI-powered robotics, covering robotics fundamentals, ROS 2, computer vision, sensor fusion, SLAM, autonomous navigation, machine learning, reinforcement learning, robotic manipulation, and embodied AI.

You will learn ROS 2, computer vision, sensor fusion, SLAM, autonomous navigation, robot control, machine learning, reinforcement learning, robotic manipulation, and Embodied AI.

SLAM stands for Simultaneous Localization and Mapping. It enables a robot to build a map of an environment while simultaneously determining its position within that environment.

Sensor Fusion combines information from multiple sensors, such as cameras, LiDAR, IMU, and GPS, to improve a robot’s understanding of its environment and position.

Reinforcement Learning allows robots to learn actions and behaviors through interaction with an environment using rewards and feedback.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

AI Robotics Career Opportunity

AI Robotics offers careers as Robotics Engineer, AI Engineer, Computer Vision Engineer, ROS Developer, Autonomous Systems Engineer, and Robotics Researcher, with salaries varying by experience, skills, location, specialization, and employer.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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AI Robotics Course FAQ's

Infibee AI Robotics Course offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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