Robotics Specialization Course

Starting from wheeled robots design to AI programming, become a robotics expert and take your skills to the next level!

12 Months


⭐⭐⭐⭐⭐ (532)

Enquire No:

+65 96141525

Next Class Starts:


2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners  Curriculum designed by Industry Experts

2200+ Alumni Students Upto $4000 Stifend for R&D Projects 100% Online Live Training Sessions 105+ Hiring Partners  Curriculum designed by Industry Experts


Next class starts Aug 05

Course Overview

12-Month Course Duration

- 6 months of live and interactive sessions by Data Experts
- 6 months of research and development projects at Geeklurn AI Solution

320+ hours of Live Training Interactive Sessions by Data Scientists

Scholarships up to $4000 on the type of Research Project undertaken

100% Placement Assistance

Placement Opportunities with our partners after course completion

Why Robotics Specialization ?

Robotics technology is influencing every aspect of work and home. It has the potential to positively transform lives, work practices, raise efficiency as well as safety levels and provide enhanced levels of service.
As per the International Federation of Robotics (IFR), Singapore has 488 robot workers per 10,000 human employees, above the global average of 74%. Furthermore, the country’s robot labour force is expected to double this year.
An entry-level Cyber Security Analyst with less than one year of experience can expect to earn an average total compensation (including tips, bonus, and overtime pay) of $48,000. The salary can further see a spike upto $69,661 based on the experience.

The Robotics Specialization program by Geeklurn is the most efficient platform to start off your journey with Robotics. The entire syllabus is cleanly designed with the intention of generating curiosity and interest amongst freshers as well as experienced professionals.


Robotics is all set to become the driving technology underpinning a whole new generation of autonomous devices and cognitive artefacts that, through their learning capabilities, interact seamlessly with the world around them, and hence, provide the missing link between the digital and physical world.


With Geeklurn, you will not only master Robotics, but also understand how to use this knowledge as the key driver of competitiveness and flexibility in large scale manufacturing industries.

  • Programming.
  • Working in a Team. 
  • Solving Complex Problems.
  • Thinking Creatively.
  • Active Learning

  • Operators
  • Robotics Account Manager
  • Robotics Engineer
  • Software Developer
  • Technician

Students Reviews




Lesson One: Introduction to Gazebo

Work with the Gazebo simulator to build new environments, and deploy assets.

Lesson One: Introduction to ROS

Obtain an architectural overview of the Robot Operating System Framework.


Lesson Two :Packages & Catkin Workspaces

 Learn the ROS workspace structure, essential command line utilities, and how to manage software packages within a project.


Lesson Three: Write ROS Nodes

Write ROS nodes in C++.

Lesson One: Introduction to Localization

Learn what it means to localize and the challenges behind it.


Lesson Two: Kalman Filters

Learn the Kalman Filter and its importance in estimating noisy data.


Lesson Three:Lab: Kalman Filters

Implement an Extended Kalman Filter package with ROS to estimate the position of a robot.


Lesson Four:Monte Carlo Localization

Learn the MCL (Monte Carlo Localization) algorithm to localize robots.


Lesson Five:Build MCL in C++

Code the MCL algorithm in C++

Lesson One:Introduction to Mapping and SLAM

Learn the Mapping and SLAM concepts, as well as the algorithms.


Lesson Two: Occupancy Grid Mapping

Map an environment by coding the Occupancy Grid Mapping algorithm with C++.


Lesson Three: Grid-based FastSLAM

  • Simultaneously map an environment and localize a robot relative to the map with the Grid-based FastSLAM algorithm.
  • Interface a turtlebot with a Grid-base


Lesson Four: GraphSLAM

Simultaneously map an environment and localize a robot
relative to the map with the GraphSLAM algorithm.

Lesson One: Intro to Path Planning and Navigation

Learn what the lessons in Path Planning and Navigation will

Lesson Two: Classic Path Planning

Code the BFS and A* algorithms in C++.

Lesson Three: Lab: Path Planning

Code the BFS and A* algorithms in C++.


Lesson Four: Sample-Based and Probabilistic Path  Planning

Learn about sample-based and probabilistic path planning,
and how they can improve on the classic approach


Lesson One: Project Introduction

Learn the requirements of the project.

Lesson Two: Project Details

Learn the project specifications and how to get started.

Hello, world!


Analytics Industry
Sentiment Analysis on Twitter data regarding 2020 INDIAN Elections
Health Care/ Pharma Industry
AI Doctor Now Diagnoses Disease Better Than Your Doctor, Study Finds
Chip Design / Semiconductor Industry
Applying Artificial Neural Network to Predict Semiconductor Machine Outliers
Cloud Computing Industry
Fault Tolerance & Redundant System with Seamless Integration to Development on AWS
Financial Services & Software
Robo-Advisors common place in the financial domain
Agriculture Sector
Fight Food Scarcity and Empower Small Farmers

Course Features

Mentorship by Industry Experts

Professional guidance on courses related doubts from our industrial mentors.

Industrial Boost camps

Participate in hackathons, live research and development projects and online sessions.

Peer Networking

Exchange queries, project ideas, knowledge with our alumni, experts and your colleagues.

Placement Assistance

Get corporate guidance from our experienced mentors who help you get job-ready.

Course Fees

Online Training + Mentorship

$1000 USD

Apply Now

Frequently Asked Questions

A robot which by overall appearance is just a Human body is known as a Humanoid robot. A Humanoid robot can have human facial expressions with features. There are two types of the Humanoid robot to resemble as male and female types:

  • Android Humanoid: They are built to resemble a male body.
  • Gynoids Humanoid: They are built to resemble a female body.

A humanoid robot is entirely an automated robot which can interact with Humans and also can react as per the surroundings.

Power supply, Actuators, Electric motors (DC/AC), Sensors and Controller are the major components in any robot.

We have a 24x7 LMS access for all our live online classes.

Students have the leverage to buy courses using credit card EMI.

We offer a six months internship for every course after the live training sessions for the first six months. During the course of the internship, you will be exposed to industry knowledge, corporate sector, research and development and hands-on practical experience by our experts.