Explore Git-based CI/CD for machine learning in this one-hour webinar. Learn how to implement continuous delivery of ML models to production using Git-based pipelines with hosted training and model serving environments. Discover techniques for automating workflows, reviewing models, storing versioned artifacts, and running CI/CD for ML projects. Gain insights into enabling controlled collaboration across ML teams using Git review processes and implementing MLOps solutions with open-source tools and hosted ML platforms. Watch a live demonstration showcasing the practical application of these concepts, covering topics such as deploying serving functions, building topologies, and creating pipeline workflows.