Discover a practical guide to upgrading your machine learning workflow in this comprehensive conference talk. Learn how to overcome common challenges like overwriting plots and model files, tight production deadlines, and GPU availability issues. Explore a set of tools and workflows designed to increase productivity by automating mundane tasks. Follow along as the speaker, Victor Sonck, an enthusiastic machine learning engineer and evangelist for ClearML, demonstrates a complete use case for ML model training using efficient MLOps practices. Gain insights into open-source solutions that can streamline your workflow, from initial development to production deployment. Whether you're a seasoned ML practitioner or just starting out, this talk offers valuable strategies to enhance your MLOps processes and boost overall efficiency in machine learning projects.