Current

Intermediate

Computer Vision 101: Let's Build a Face Swapper in Python

Skillshare · Skillshare Instructor · Updated March 2026

Platform rating

4.5/5

Champ rating

8.4/10

Duration

Self-paced

Classes

8

In this course, we will explore computer vision fundamentals as you build a Snapchat-esque face swap application.

What you'll get

Build computer vision applications with OpenCV and Python

Implement face detection and recognition systems

Create real-time image processing pipelines

Apply object detection to practical problems

Course Curriculum

3 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

Skillshare membership

Pricing

Skillshare Premium ($13.99/mo)

Certification

No

Computer Vision

OpenCV

Python

Image Processing

Face Detection

Object Detection

ShareCompare

Add to StackGo to Course

Alternatives to Computer Vision 101: Let's Build a Face Swapper in Python

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.