Automating the Workflow: End-to-end MLOps for Computer Vision

​This event is over - see the recording here: https://streamyard.com/watch/w3kGSHmWqDiS

​Join us for a technical dive into the MLOps workflow for computer vision with our webinar, conducted by Hamza Tahir, CTO and Co-founder of ZenML.

​In this hands-on session, we'll focus on building an efficient workflow using tools like Voxel51, ZenML, and Streamlit. Hamza will guide you through creating an automated pipeline for computer vision tasks, demonstrating how you can transition smoothly from data labeling to model training and deployment.

​Moreover, you'll learn how to refine and retrain your model by reviewing and updating your labeled data, an essential step for improving model performance. Hamza will discuss best practices in handling image data and composing MLOps pipelines that can be scaled up locally and on the cloud.

Speaker: Hamza Tahir, CTO and Co-founder of ZenML, brings a wealth of practical experience and up-to-date expertise in MLOps. As a seasoned tech leader, Hamza has worked extensively on developing scalable MLOps strategies and innovative machine learning solutions.