This course focuses on practical vision use cases you can ship, with clear limits and evaluation.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01A vision feature is a contractInput image, output fields, fail if not visible.
- 02Classic CV versus multimodal modelsWhen a detector is enough, when you need a VLM.
- 03Data: angles, lighting, and the long tailCollect the ugly images or the demo will lie.
- 04UX for camerasGuides, confirmations, and privacy.
- 05Eval on a held-out setPrecision/recall or field accuracy, plus a slice on the tail.
- 06On-device versus cloudLatency, privacy, and model size as product choices.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.
- 09Measure results so you know the work is actually betterAdd a simple evaluation so quality and cost are not guesswork.
- 10Ship it: handoff, monitoring, and the next projectPut the workflow where other people can use it without you in the room.