Intermediate Computer Vision

Vision AI

Master the full stack of computer vision: image processing, object detection, segmentation, OCR, and end-to-end pipeline design. Written for engineers who want to ship production systems, not just run notebooks.

12 Modules
3.7h Duration
Text + Code Format
Free Cost
Prerequisites
  • Basic Python (functions, loops, classes)
  • Familiarity with NumPy arrays

What you'll learn

  • Understand how computers represent and process images at the pixel level
  • Implement classical image processing pipelines with OpenCV
  • Train and fine-tune CNN-based models for classification and detection
  • Build object detection, segmentation, and face recognition systems
  • Extract structured data from documents using OCR and layout analysis
  • Ship a production-grade Vision AI application with a REST API

Course Curriculum

12 modules · 3.7 hours total

Go further with expert guidance

Ready to build production AI?
Talk to our R&D team.

These courses give you the foundation. Our embedded AI teams take you from prototype to production in 30–90 days, with your team, your codebase, your goals. Book a free strategy call to see how we can accelerate your AI initiative.

30 minutes · No obligation · Expert AI engineers, not sales reps

AI Architecture Review

Audit your current stack and identify high-impact improvements

Project Review

Get expert feedback on your AI implementation and codebase

Team Mentoring

Upskill your engineers with hands-on AI coaching sessions

AI Strategy

Define your AI roadmap, prioritization, and implementation plan