Computer Vision Courses and Certifications

Packt

Jetson Nano Starter to Pro - A Computer Vision Course

Build AI vision systems on NVIDIA Jetson Nano: OpenCV and PyTorch setup, YOLO object detection, TensorRT optimization, DeepStream multi-camera surveillance, pose estimation, and number plate recognition.

• Coursera
• 16 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Optimizing and Deploying Computer Vision Models

Optimize and ship vision models: analyze and augment datasets, diagnose vanishing gradients with TensorBoard, containerize a /predict inference API, and run ablation studies for reproducible results.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera Career Certificate

Eyes on AI - Computer Vision Engineering

Build, optimize, and deploy computer vision systems: prepare vision datasets, tune PyTorch pipelines for GPUs and edge devices, and fine-tune classification, detection, and segmentation models.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Packt

Deep Learning - Computer Vision for Beginners Using PyTorch

Build computer vision models in PyTorch: manipulate tensors, use AutoGrad and GPU acceleration, and train CNNs and the LeNet architecture on CIFAR10.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Khalifa University

Deep Learning for Computer Vision: Techniques & Applications

Build, train, and evaluate deep networks for images in PyTorch: CNNs, VGG and ResNet fine-tuning, YOLO and Faster R-CNN detection, U-Net segmentation.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Machine Learning – Modern Computer Vision & Generative AI

Fine-tune image classifiers and object detectors with pre-trained models and KerasCV, handle COCO and Pascal VOC datasets, and generate images with Stable Diffusion.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Analyze and Apply Deep Learning for Computer Vision

Apply deep learning to visual data: work through neural network, convolutional and recurrent architectures, then image preprocessing, feature extraction, object detection, segmentation, and image generation.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning for Computer Vision

2 ratings

A deep dive into neural-network methods for computer vision, with hands-on implementation, training, debugging, and fine-tuning for image classification and object detection.

• YouTube
• 1 day 2 hours
• Self-Paced
• Free Video

Computer Vision Bootcamp with Python (OpenCV) - YOLO, SSD

243 ratings at Udemy

Face Detection, R-CNNs, YOLO and SSD Object Detection, Object Tracking (DeepSORT, ByteTrack, BoTSORT), Vehicle Counting

• Udemy
• 14 hours
• Self-Paced
• Paid Course

Computer Vision

1 rating

Build convolutional neural networks with TensorFlow and Keras.

• Kaggle
• 4 hours
• Self-Paced
• Free Certificate

Mastering Computer Vision: From Pixel to Detection to Gen-CV

72 ratings at Udemy

Master CNNs, ResNet, Inception,YOLO, SSD, U-Net, Mask R-CNN, GANs, ViT, SAM ,VAE with Python, OpenCV, PyTorch Projects

• Udemy
• 34 hours
• Self-Paced
• Paid Course

Computer Vision and Image Processing Fundamentals.

13 ratings at edX

Learn about computer vision, one of the most exciting fields in machine learning. artificial intelligence and computer science.

• edX
• 3 weeks, 3-4 hours a week
• Self-Paced
• Free Certificate

IIT Kharagpur;  NPTEL

Computer Vision

Explore the geometric foundations of computer vision, from projective and camera geometry to stereo, feature matching, and deep neural architectures.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

IIT Hyderabad;  NPTEL

Deep Learning for Computer Vision

Explore computer vision through traditional visual features and modern deep learning, including CNN-based recognition, detection, segmentation, video understanding, transformers, and generative models.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

Computer Vision Fundamentals with Google Cloud

Computer Vision Fundamentals with Google Cloud Discover how to solve real-world computer vision challenges on Google Cloud using a range of ML approaches, from pre-built APIs to custom image-built cla

• edX
• 1 week, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)