UDUdemy
Computer Vision with PyTorch: Deep Learning for Images
Intermediate 20 hours English Course Certificate
Our recommendation
A Udemy course covering computer vision from CNN fundamentals through modern production techniques — custom architectures, transfer learning with ResNet and EfficientNet, object detection with YOLOv8, and semantic segmentation, in PyTorch. Thorough and practical for people who know Python and some ML and want real computer-vision skills. A GPU (local or cloud) helps for training.
Skills you'll gain
Computer visionPyTorchCNNsTransfer learningYOLOv8Segmentation
Is this course right for you?
A good fit if you…
You know Python and some ML
You want modern computer vision
You have GPU access
Consider something else if you…
You are new to Python or ML
You have no GPU access
You want a no-code course
About this course
This course covers computer vision from CNN fundamentals through modern production techniques: custom CNN architectures, transfer learning with ResNet and EfficientNet, object detection with YOLOv8, and semantic segmentation with U-Net.
What you'll learn
Build CNNs from scratch and understand convolution, pooling, and feature maps
Apply transfer learning with ResNet, EfficientNet, and pretrained backbones
Implement object detection with YOLOv8 for real-time applications
Apply semantic segmentation with U-Net for pixel-level classification
Deploy vision models as REST APIs using FastAPI and Docker
This course includes
20h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Udemy lists a high price but the course is nearly always on sale for roughly $12–20 with lifetime access — wait for a discount rather than paying full price. Training models is faster with a GPU; cloud GPU services, if used, are billed separately.
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Is the certificate recognised?
You receive a Udemy completion certificate — a learning record, not a formal or accredited qualification.
Instructor
AN
Andrei Neagoie / Daniel Bourke
Udemy instructor
75K+ learners8 courses4.7 instructor rating
Taught by Udemy computer vision instructors with industry experience building vision systems for production applications.
About this provider
UD
Udemy
The world's largest online learning marketplace. 65M+ students, 210,000+ courses.
Frequently asked questions
Training is much faster with a GPU (local or cloud). Cloud GPU services, if used, are billed separately.
Ignore the list price — Udemy runs near-constant sales, so it is usually around $12–20 with lifetime access.
CNN fundamentals, transfer learning with ResNet/EfficientNet, object detection with YOLOv8, and semantic segmentation.
Yes — Python and some ML background are expected.
It shows completion; the value is the practical skills.