AWS Certified Machine Learning Specialty (MLS-C01) 2025 – 400 Free Practice Questions to Pass the Exam

The developer kit that helps learn machine learning concepts with a focus on computer vision is AWS DeepLens. This device is equipped with a built-in camera and runs deep learning models locally, allowing users to experiment with real-time image and video analysis directly on the device. DeepLens supports frameworks such as TensorFlow and MXNet, enabling users to deploy pre-trained models or create their own to perform various computer vision tasks, such as object recognition, image classification, and facial recognition.

Engaging with AWS DeepLens provides a practical, hands-on approach to understanding machine learning concepts by integrating hardware and software, making it an ideal choice for learning. The ability to process video feeds in real time at the edge also enhances the learning experience, allowing developers to see tangible results immediately.

Other options, while relevant to machine learning, do not specifically address the learning of computer vision concepts in the same way. AWS RoboMaker is focused on robotics and simulation; Amazon Rekognition is a service for image and video analysis but does not provide a hands-on learning kit, and Amazon SageMaker is a comprehensive service for building, training, and deploying machine learning models but is not specifically tailored to computer vision learning in a practical sense.