Session
From idea to production: Data Science end-to-end with Databricks
Have you ever wondered what happens end-to-end to take a Machine Learning model from an idea in to production, then this is the session for you. Already building Machine Learning models but not used Databricks, well then this session is for you too. This session is designed to demonstrate all the steps to take a model in to production.
This session is a lab heavy session. We will cover the basics of Spark and Databricks, before looking at how to train a model using both Spark and Python. We will look at how Databricks supports both the pro-code and the low-code and when to use one over the other. We will look at common techniques to explore our data and get the most from it, from there we will move on to producitonise our model using MLOps with MLFlow.
This session was created based on feedback and engagements with our customers at Advancing Analytics. This course is an applied course which is designed to not only teach you how to implement a technology, but also why and most importantly why not. This session is delivered by Microsoft Gold Partners, Microsoft MVPs and also award winning Databricks partners.
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