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Computer Vision for Beginners

Learn how machines see the world! This beginner-friendly course introduces you to the basics of computer vision, from images and neural networks to real-world a...

Weekly LIVE Sessions

Video Classes

English

0

100 Students

Certificate Course

Course Overview

Computer Vision is the field of AI that teaches machines how to see, analyze, and interpret images and videos, just like humans. From facial recognition and medical imaging to self-driving cars and augmented reality, computer vision powers technologies we interact with every day. This beginner-friendly course introduces you to the foundations of how images work, key processing techniques, and the deep learning models that make advanced applications possible

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You’ll also explore real-world applications across industries such as healthcare, retail, security, and robotics, while understanding the ethical concerns around bias, privacy, and deepfakes. With simple, practical lessons and hands-on activities like building your own image classifier, this course equips you with both the technical foundations and the awareness to apply them responsibly in the fast-growing world of computer vision.

FAQ

Yes! Each course comes with an assigned mentor who hosts weekly live sessions and provides support throughout your learning journey.

Absolutely. The platform is mobile-friendly, so you can learn on your smartphone, tablet, or computer whichever suits you best.

Not at all. Many of our courses are designed for absolute beginners. Each course page lists any prerequisites (if required), but most start from scratch.

Yes! You will get a certificate after you complete the course. Our certificates are widely recognized by employers and useful for showcasing your practical skills and achievements.

No. You have lifetime access to any course you enroll in, so you can learn at your own pace and revisit lessons as needed. However, access to mentors is limited to 3 months after your payment.

Course curriculum

How Machines See – Basics of Images
00:05:50

Image Processing Techniques
00:07:35

Deep Learning and Computer Vision
00:57:55

Real-World Computer Vision Applications
00:11:11

Requirement

No prior knowledge of computer vision or AI required
Basic familiarity with computers and the internet
A curious mind and willingness to learn new technologies

Outcomes

Understand what computer vision is and how it differs from human vision
Differentiate between object detection, classification, and segmentation
Explore real-world applications in healthcare, retail, robotics, and security
Build a beginner-friendly image classifier using Google Teachable Machine

Instructor

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49.8

100
35 Courses
56 Reviews

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Students
0
language
English
Duration
03h 02m
Level
beginner

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