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AI Skills Lab: Peer Support Robotics Edition
Across four interactive sessions, you will explore how robots move, sense, see, and make decisions, using real hardware and real code, but without needing any prior technical experience.
The programme moves from core robotics and motor control, to computer vision using cameras and Python, before bringing systems together and introducing machine learning concepts, including real-world uses, limitations, and ethics.
Each workshop is highly practical, with live demonstrations, group activities, and guided build tasks that make complex ideas accessible. You will be encouraged to explain concepts in their own words, building confidence as well as technical understanding.
This series is ideal for:
- Beginners and first-time coders
- Students curious about AI, robotics, or tech careers
- Anyone who wants to understand AI beyond the buzzwords
By the end of the programme, you will not only have built and tested a working robot, but will also be able to clearly explain how modern robotic and AI systems work in the real world.
Associated Badges:
In A Nutshell...
- Build...real technical confidence by working with genuine robotics hardware and simple Python code.
- Learn...core concepts in robotics, computer vision, and AI through practical, step‑by‑step tasks.
- Take part...in live demos, group challenges, and guided builds.
- Attend...four interactive sessions.
- Earn up to 80 Rise points ... which can be recognised within your degree.
Schedule
-
15:00 to 17:00 on 17/03/26 - Business School, Careers Space
Session 1: Robotics Foundations In this session you will be introduced to core robotics concepts and do some hands on building. -
13:30 to 15:30 on 18/03/26 - Business School, Careers Space
Session 2: Vision and Artificial Intelligence This session builds directly on the first by exploring how cameras and vision algorithms allow robots to react to visual input. -
15:00 to 17:00 on 24/03/26 - Business School, Careers Space
Session 3: Systems Working Together In this session, we will explore how multiple systems work together to form a complete robotic solution. -
13:30 to 15:30 on 25/03/26 - Business School, Careers Space
Session 4: Final Showcase This final session introduces Machine Learning as a tool, reflecting where this could fit in your robotic system and the ethical considerations.