The 8 best Computer Vision courses in 2026

In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.

With Amazon Kinesis Video Streams, you can build media streaming applications for Internet of Things (IoT) video devices and real-time computer vision machine learning (ML) applications. In this course, you will learn the benefits and technical concepts of Kinesis Video Streams. If you are new to the service, you will learn how to start using Kinesis Video Streams through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify image extraction through APIs or automated image extraction from metadata tag

Five courses on neural networks, CNNs, sequence models, and ML strategy from DeepLearning.AI.

Image processing, object detection, and deep learning with OpenCV.

Build and train neural networks with TensorFlow for vision, NLP, and time series.

Learn PyTorch from scratch — tensors, neural networks, computer vision, and model deployment.

Free, top-down deep learning course — build state-of-the-art models from lesson one.

Computer vision, sensor fusion, and control for autonomous vehicles.