Foundations of Computer Vision: Object Detection and Image Recognition
Core concepts, vocabulary and working environment for computer vision: object detection and image recognition.
£149 programme
Mai Studies Original · Artificial Intelligence & Generative AI
Computer Vision: Object Detection and Image Recognition
Computer Vision: Object Detection and Image Recognition is an original Mai Studies programme in artificial intelligence & generative ai. Over 8 weeks and roughly 40 guided hours you work through recorded classes, written notes, practical activities, knowledge checks and assessed tasks marked against a published rubric with an 80% pass mark. All material is written in-house. Mai Studies is independent: no official examination content, question bank, recording or branding from any certification body is reproduced, and completion leads to a Mai Studies completion certificate rather than a regulated or accredited qualification.
8 weeks 40 guided hours Advanced
This programme carries its own fee in addition to membership, and gives you twelve months to complete it. Your certificate is issued once the fee is paid.
What you will achieve
- Explain the core principles of computer vision: object detection and image recognition in plain language
- Apply the methods safely and correctly to realistic scenarios
- Produce a documented portfolio piece assessed against a published rubric
- Plan your next steps in artificial intelligence and generative AI
Entry guidance
- — Solid intermediate experience in artificial intelligence and generative AI
- — Prior hands-on project work recommended
Original Mai Studies learning material. This is a professional completion programme, not a regulated qualification or university accreditation.
Programme syllabus
3 applied modules
4h
Applied practice in Computer Vision: Object Detection and Image Recognition
Hands-on work that turns theory into a repeatable method for artificial intelligence and generative AI.
Portfolio project, assessment and next steps
Produce assessed evidence of your capability and plan the study that follows this programme.