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Robotics and AI Course in Kerala

Kickstart your robotics career with Entri’s Robotics Course in Kerala, learn ROS2, AI, SLAM, simulation, and navigation through industry-grade projects designed to make you a job-ready robotics engineer.

Course Type

Online

Course Duration

26 weeks

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Robotics and AI Course Overview

Robotics Course in Kerala teaches you production-level robotics skills including C++, ROS2, Gazebo simulation, deep learning, navigation, SLAM, and fleet management. Learn through live sessions, hands-on projects, digital-twin simulations, and get placement assistance for top robotics roles.

Industry-expert mentorship Icon

Industry-expert mentorship

GitHub portfolio development Icon

GitHub portfolio development

Simulation-based learning Icon

Simulation-based learning

Capstone robotics project Icon

Capstone robotics project

Placement assistance Icon

Placement assistance

Real hardware interaction Icon

Real hardware interaction

Live + recorded sessions Icon

Live + recorded sessions

Course Completion Certificate Icon

Course Completion Certificate

Skills Covered

Master industry-grade robotics, AI, navigation, and simulation skills end-to-end.

Tools Covered

You’ll work with production-level robotics tools including ROS2, AI Perception, 3D LiDAR SLAM, Gazebo Classic & Ignition, Linux CLI, TF2, URDF, Nav2 stack, Sensor Fusion, Visual Odometry, Fleet Management, PyTorch, OpenCV, GitHub DevOps pipelines, Docker containers, IMU, and simulation frameworks.

c++ Python 3 ROS 2 Gazebo Docker Pytorch TensorRT GitHub BASH Open CV PCL Open 3D NAV 2 Open RMF Linux DevOps

Job Roles

Robotics Software Engineer

Build and deploy ROS2-based systems, perception modules & navigation logic.

Navigation & Planning Engineer

Design motion planning, control algorithms & mapping systems.

Computer Vision Engineer

Build perception pipelines with AI, SLAM & object detection.

SLAM Engineer

Work on 3D LiDAR SLAM, localization & mapping solutions.

Simulation Engineer

Develop digital-twin simulations for robotic systems.

Fleet Management Engineer

Build large-scale robot coordination systems used in warehouses.

Robotics and AI Course Curriculum

The Robotics and AI Course Syllabus is given below:

Eligibility

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Education

B.Tech and Diploma students/graduates from technical or circuit branches are eligible to enroll in the Robotics and AI course.

Basic Coding Interest icon

Basic Coding Interest

No need to be an expert; Phase 1 teaches C++ foundations.

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Curiosity for Robotics

A passion for problem-solving and engineering mindset.

Why Live Sessions ?

Clear doubts instantly through interactive mentoring.

Learn advanced robotics concepts through guided demonstrations.

Work on projects with real-time debugging support.

Live Sessions

Industry Expert Mentors

Learn from top robotics engineers with years of experience in SLAM, perception, and autonomous navigation for global robotics companies.

Key Learning Outcomes

Build robotics software with ROS2

Develop SLAM & navigation systems

Build AMR simulation environments

Implement AI vision models

Deploy real-world robotics code

Create a job-ready robotics portfolio

Hands-on Unitree Quadruped G02 Robot

Live Sessions

Frequently Asked Questions - Robotics Course in Kerala

The Robotics Course trains you in modern robotics, focusing on ROS2, AI perception, SLAM, navigation, Gazebo simulation, DevOps for robotics, and real-world autonomous systems. You learn industry-ready skills used in AMRs and modern robotics applications.
This course is ideal for engineering students, freshers, software developers, AI/ML learners, robotics enthusiasts, and professionals looking to transition into robotics & automation.
You will learn C++ foundations, ROS2 architecture, Gazebo simulation, AI vision, SLAM, path planning, navigation stacks, digital twin development, and fleet management systems, leading to job-ready robotics skills.
No. The course includes a beginner-friendly Phase 1 module that teaches essential C++, Linux, math foundations, and robotics basics before moving to advanced robotics.
The course is delivered fully online, through live interactive sessions, recorded classes, hands-on projects, simulation labs, and guided mentor support.
Yes. You will receive an industry-recognised certificate from Entri upon completing all modules, projects, and assessments.
The Robotics and AI program in Kerala spans 26 weeks, covering fundamentals, ROS2, simulation, SLAM, planning, navigation, DevOps, and a final capstone project.r.
Yes. You get mentor guidance, doubt-clearing sessions, project support, community access, and continuous assistance throughout the course.
You will need a laptop, stable internet, and the ability to install tools like Docker, VS Code, ROS2, Gazebo, GitHub, and AI libraries. All installation guidance is provided.
There are no strict prerequisites. A basic interest in coding and problem-solving is recommended. Phase 1 covers all required fundamentals to get started.
Yes. You gain skills aligned with industry robotics roles, build a GitHub portfolio, complete simulation & hardware-based projects, and receive placement support, improving your job readiness.
You can pursue roles such as Robotics Software Engineer, ROS2 Developer, SLAM Engineer, Navigation Engineer, Computer Vision Engineer, Simulation Engineer, or AMR Fleet Engineer.
You can register directly through the Entri App, where you can check batch details, course fee, schedule, and complete enrollment in just a few steps.
The Robotics and AI course fee in Kerala varies from ₹35,000 to ₹90,000 based on ongoing offers and batches. You can view the latest pricing and discounts inside the Entri App or speak with a course advisor to get personalised discounts.

Advantages of Learning from Entri

Elevate Learning Experience

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Student Support

Get continuous guidance.

Industry Networking Icon

Industry Networking

Connect with robotics engineers & companies.

Career Support

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Career Guidance

Understand robotics career paths.

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Live Profile Building

Build GitHub, portfolio & demo reel.

Who Can Apply for this Course

  • Engineering students
  • Software developers
  • AI/ML learners
  • Robotics enthusiasts
  • Freshers seeking high-paying tech roles
  • Working professionals switching domains
  • Anyone passionate about automation & robotics
Who can apply
Person

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