Current
Intermediate
Face Recognizer Using Python & OpenCV
Skillshare · Jayanta Sarkar · Updated March 2026
Platform rating
4.5/5
AI Tutor Rating
8.4/10
Duration
Self-paced
Classes
8
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.
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
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
Growth Leverage: Completing this course qualifies you for roles such as Computer Vision Engineer or AI Developer, enhancing your career prospects in industries like security, healthcare, and robotics. It also prepares you for certifications in machine learning and computer vision technologies, expanding your professional credentials.
Skills Value: The skills acquired can command salaries ranging from $80,000 to $130,000 for entry to mid-level positions, as demand for proficiency in real-time image processing and face recognition is increasing across sectors like surveillance and social media, where efficient data analysis is crucial.
Computer Vision
OpenCV
Python
Image Processing
Face Detection
Object Detection