Join us for an insightful workshop on MLOps, where we'll explore the crucial steps of deploying machine learning models into production. This workshop will cover practical techniques and best practices for ensuring your models are not only functional but also robust and scalable. We'll start with a brief introduction to MLOps and its importance in the machine learning lifecycle. By the end of this workshop, you'll have a solid understanding of the end-to-end deployment process, enabling you to take your models from development to production efficiently.

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This workshop is ideal for data scientists, ML engineers, and anyone interested in learning about production-ready model deployment. Code will be kept to a minimum, however some example code in R and Python will be provided via GitHub for anyone interested. This workshop will be delivered by Myles Mitchell, a Principal Data Scientist @ Jumping Rivers Ltd.