MAKE School
Applied AI and Machine Vision
Make cameras and data useful in the real world
What you will explore
A practical route into a connected technical system.
This School is about practical outcomes. Can a camera detect a defect? Can a system count products accurately? Can operating data reveal a problem before a machine stops? Can a useful tool be deployed where people actually work?
See how learning worksIs this a fit?
Choose this School if you enjoy software, visual problem-solving, data and building tools that produce a clear result. You do not need advanced coding experience before you apply.
Read the admissions information and published entry routes before you apply. You can begin a private draft without submitting it immediately.
What you may work with
Tools, systems and questions worth getting close to.
- cameras, lenses and lighting
- image capture and data quality
- labelling and preparing data
- computer vision and pattern recognition
- inspection, counting and classification systems
- sensors and operating data
- simple prediction and decision-support tools
- edge devices and system integration
- testing, error analysis and human review
- privacy, security and responsible use
Where this can lead
Build evidence of what you can do.
Career routes may include Machine Vision Technician, Junior Computer Vision Developer, Applied AI Technician, Data Operations Assistant, Automation Support Specialist and Quality Technology Assistant.
Job titles, employer requirements and any additional certification differ by country and employer.