Home / Bootcamps / Robotics Bootcamp
6 WEEKS · 48 LIVE HOURS

Robotics Bootcamp

A broad robotics pathway combining control logic, sensors, automation, physical systems, programming and applied robotics challenges.

Next cohort12 January – 18 February 2027
Live timetable18:00–22:00 CET · Tuesdays & Thursdays
DeliveryLive online · in person by arrangement
Time zoneMalta / Central European time
Scheduled cohort · per person€3,650

Join the published live cohort with structured teaching, labs and capstone work.

Private one-to-one€6,200

Individual tutor-led delivery with the same programme depth; private dates arranged separately.

Premium intensive format: live tutor-led teaching, substantial contact hours, practical labs, review and project work.
FULL SYLLABUS

Programme content

01

Robotics systems and control

Guided explanation, practical examples and an applied task focused on robotics systems and control.

02

Programming for robotic behaviour

Guided explanation, practical examples and an applied task focused on programming for robotic behaviour.

03

Sensors and perception

Guided explanation, practical examples and an applied task focused on sensors and perception.

04

Actuators and motion

Guided explanation, practical examples and an applied task focused on actuators and motion.

05

Automation and feedback

Guided explanation, practical examples and an applied task focused on automation and feedback.

06

IoT and connected systems

Guided explanation, practical examples and an applied task focused on iot and connected systems.

07

Robotics data and intelligence

Guided explanation, practical examples and an applied task focused on robotics data and intelligence.

08

Safety and reliability

Guided explanation, practical examples and an applied task focused on safety and reliability.

09

Sector applications

Guided explanation, practical examples and an applied task focused on sector applications.

10

Final robotics capstone

Guided explanation, practical examples and an applied task focused on final robotics capstone.

Learning outcomes

  • Explain the core technical concepts accurately.
  • Apply the relevant methods in guided practical work.
  • Test and improve outputs systematically.
  • Complete an applied challenge or capstone.
  • Present the final work and justify key decisions.
COHORT TIMETABLE

Planned live teaching structure.

SessionFocusTime
Session 1Foundations18:00–22:00 CET · Tuesdays & Thursdays
Session 2Applied practical work18:00–22:00 CET · Tuesdays & Thursdays
Session 3Applied practical work18:00–22:00 CET · Tuesdays & Thursdays
Session 4Applied practical work18:00–22:00 CET · Tuesdays & Thursdays
Session 5Capstone, review & presentation18:00–22:00 CET · Tuesdays & Thursdays

Confirmed participants receive the final timetable before commencement. Minor adjustments may be made for public holidays, tutor availability or cohort logistics.

Need help?
Your privacy choices

Essential site functionality is always available. Optional analytics and live chat are loaded only if you accept them.

Policy