Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 57-minute podcast episode featuring Stefano Bosisio, an MLOps Engineer at Synthesia, as he shares his journey from biomedical engineering to MLOps. Gain insights into transitioning from academia to the AI industry, persistent MLOps challenges, and the importance of internal evangelization for success. Learn about key components of ML pipelines, creating generalizable AI training pipelines with Kubeflow, and considerations for cost-effective algorithms and deployment methods. Discover the complexities of auto-scaling in MLOps, particularly with Apache Beam data pipelines. Understand how to guide students through practical MLOps experiences and the value of critical tool evaluation. Benefit from Bosisio's diverse background and expertise in bridging complex scientific research with practical machine learning applications.