This session focuses on developing, training and deploying Machine Learning models using Amazon SageMaker and is intended for experienced ML Practitioners.

In the first part of the session we will explore the features of Amazon SageMaker and focus on how to train and deploy models. In the second part, we’ll venture into the exciting world of MLOps and how to use Amazon SageMaker’s Pipeline features to build systems that automate the process of training, modelling, deploying and testing your ML models.

We will finish with a live Q&A session.