Current

Intermediate

Computer Vision Specialization

Coursera · University of Colorado Boulder · Updated March 2026

Platform rating

4.5/5

Champ rating

8.3/10

Duration

1-3 months

Classes

60

Comprehensive specialization covering image analysis, CNNs, Vision Transformers, GANs, and multimodal prompting for computer vision.

What you'll get

Apply Vision Transformers to visual tasks

Build object detection and recognition systems

Implement GANs and autoencoders for generation

Course Curriculum

6 chapters

Fit

Best for

ML Engineers

Data Scientists

AI Researchers

Deep Learning Practitioners

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Python, linear algebra basics

Pricing

Subscription

Certification

Certificate

Computer Vision

ViT

CNN

GANs

Image Analysis

ShareCompare

Add to StackGo to Course

Alternatives to Computer Vision Specialization

Compare

Current

Real-Time Video AI on NVIDIA GPUs

NVIDIA Deep Learning Institute (DLI) · NVIDIA

4.6

8.6/10

8 hours self-paced

Build real-time video AI pipelines using NVIDIA DeepStream and TensorRT. Process multiple video streams with GPU-accelerated inference.

$90

ViewAddCompare

In this hands-on class project, you will learn to use Python and OpenCV to extract individual frames from a video file. This project will introduce you to basic ...

In this class, you will create a simple document scanner using the OpenCV library and Python. This can be useful, for example, for scanning pages in a book.

In this hands-on project-based course, you'll learn how to build a real-time multi-face recognizer using Python, OpenCV, and the face_recognition library.