AI & Machine Learning Workshop
Your students will learn both physical computing and coding concepts and build, program and train a robot buggy with AI capabilities.

Overview
Introduce students to the future of computing with this hands-on artificial intelligence and machine learning workshop for years 7 to 11 (S1–S4).
Students explore physical computing, coding and real-world applications while discovering how traditional programming differs from machine learning.
They learn how computers can learn from data rather than explicit instructions and explore neural networks as a key machine learning concept.
Through practical activities, students explore reinforcement learning, pattern recognition and image recognition.
Students build and programme a robot buggy using BBC micro:bit and an AI-powered camera to recognise traffic signals.
They also explore the ethical implications of AI, considering safety and privacy when using this developing technology.
The workshop supports KS3–KS4 computing and science, developing students’ understanding of algorithms, data handling and emerging technologies.
Sessions are adapted for all learners, including those with SEN. Facilitators tailor activities to age and ability, ensuring every student is supported and engaged.
Sessions are tailored to your school day and all equipment is provided.
Workshop formats available:
Standard (2×2hr): Up to 60 students/day (working in pairs)
In-Depth (1×4hr): Up to 30 students/day
Details
- School subject
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- Technology/computing
- Engineering
- Maths
- Physics
- Curriculum links
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- Computing
- Physics: Electricity and electromagnetism
- Engineering
- Sciences - Forces, electricity and waves: Electricity
- Computing science
- Physics: Electricity
- Technology & design - Communication: Use of ICT tools (including 3D modelling)
- Sciences - Forces and energy: Using electricity
- Technology & design - Control: Incorporate control systems in products
- Group size
- Whole class
- Participation level
- Hands-on
- Duration
- Whole day
- Cost
- Cost may apply
- Location
-
In-school
- England
- Scotland
- Wales
Learning outcomes
- Improve engagement, interest or enjoyment in STEM subjects
- Improve awareness and aspirations for STEM-related study and careers
- Challenge stereotypes by showing the diversity of disciplines, people and skills involved in engineering
Frameworks
Gatsby benchmarks
The Gatsby benchmarks are a framework for good careers guidance for schools across all of England and in some areas across the rest of the UK. This experience helps your school to reach the following benchmarks:
- 3 - Addressing the needs of each pupil
- 4 - Linking curriculum learning to careers
EqualEx
The equalex framework allows educators to embed meaningful workplace experiences within a progressive whole school careers programme.
- Introduce and Inspire
Essential skills
The essential skills every young person needs to succeed in education and their future career. Find out more at the Skills Builder Partnership. This experience builds the following skills:
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Problem solving - Finding solutions to challenges
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Adapting - Overcoming challenges and setbacks to achieve goals
Enrichment framework
- 5 - An accessible and engaging enrichment offer
- 7 - An outcomes-focused enrichment offer

