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Free computer vision course
Free computer vision course

Computer Vision and Multimodal AI

A responsible vision workflow with image preparation, model or search pipeline, error analysis, dataset limits, and a model card.

Download Computer vision workflow pack

Module 03

Basic Image Processing with OpenCV

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Module 05

Building Image Datasets and Labels

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Module 06

CNN Intuition and Transfer Learning

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Module 09

Embeddings and Image Similarity

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Module 12

Capstone: Responsible Vision Workflow

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

First-release boundary

This is a text-first course shell. Leonardo/image creation, image QC, dependency-heavy runtime QA, external review, and learner pilot evidence remain separate later quality steps.

Open learner resources / Completion page