End-to-End MLOps for Computer Vision

Explore end-to-end MLOps for Computer Vision in this 38-minute conference talk from MLOps World: Machine Learning in Production. Gain insights from Ashwini Badgujar, a Machine Learning Engineer at Impulse Logic, as she introduces MLOps, its significance, and how it differs from other "Ops" methodologies. Discover the areas of Computer Vision where MLOps is applied, focusing on neural networks for image processing. Learn about comprehensive Computer Vision pipeline descriptions, from data gathering and processing to model training, validation, and monitoring. Understand how to implement MLOps in these pipelines through manual Python scripting, ML pipelines, and CI/CD pipelines. Familiarize yourself with essential tools in the MLOps ecosystem, including Amazon SageMaker, Kubernetes, Kubeflow, and MLFlow. Enhance your knowledge of MLOps practices specifically tailored for Computer Vision applications in this informative presentation.