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Robotics

Introduction to robotics, programming, and automation, with hands-on training in English, covering fundamentals and applications effectively online
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Overview

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Learning outcomes

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Course content

1

Robotics Fundamentals

2

Artificial Intelligence Systems

3

Autonomous Vehicle Design

4

Machine Learning Algorithms

5

Computer Vision Engineering

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Planning and Management
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Robotics course at Stanmore School of Business exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering autonomous navigation, and the hands‑on labs using ROS allowed me to program a TurtleBot to map an indoor environment within weeks. The lecture slides were concise, the supplementary video tutorials were up‑to‑date, and the real‑world case studies on warehouse automation were directly applicable to my current role. Overall, the learning experience was professional and highly satisfying – I now feel confident presenting a robotics roadmap to senior management.

SL
Sophie Laurent
CA · Course completed

I signed up for the Robotics class because I wanted to build a cool DIY robot for my hobby projects. The course was laid out in a friendly, casual way that made complex topics like sensor fusion feel doable. I especially loved the week where we assembled a line‑following robot from scratch and programmed it with Arduino – I actually used that robot at a local maker fair! The materials were clear and the forums were active, so I got quick help when I got stuck. All in all, it was a solid experience that helped me reach my learning goals.

FW
Felix Wagner
DE · Course completed

Wow! This Robotics program was exactly what I needed to kickstart my career in industrial automation. The enthusiastic teaching style kept me motivated, and the practical assignments—like designing a pick‑and‑place robot arm in a simulated factory—gave me real‑world skills I could showcase on my CV. The course material was top‑notch: up‑to‑date PDFs, interactive 3D models, and industry‑partner guest lectures that highlighted current trends in AI‑driven robotics. I’m thrilled with the knowledge I gained and highly recommend the course to anyone eager to dive into robotics.

HT
Haruto Tanaka
JP · Course completed

The Robotics course offered a detailed and methodical approach that suited my analytical mindset. Each module began with a thorough theoretical overview—covering kinematics, dynamics, and control algorithms—followed by step‑by‑step lab exercises. I particularly appreciated the project where we implemented a PID controller on a differential‑drive robot to achieve precise path tracking; the provided simulation environment mirrored real hardware behavior closely. The course resources, including annotated code repositories and comprehensive reading lists, were of high quality and relevance to current industry standards. My overall learning experience was rigorous and rewarding, and I now possess concrete skills to contribute to robotics development projects.





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Taught in English

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Recently updated!

May 2026