Microsoft Fabric Machine Learning Tutorial - Part 1 - Overview of the Course

This video provides an overview of a new tutorial series that would take a deep dive into an end-to-end demo of Microsoft Fabric, with a focus on a Predictive Analytics use case. The tutorial will use the popular Kaggle Titanic data set to demonstrate features across both the data engineering and data science experiences in Fabric. It guarantees to be an interesting tutorial that will explore different architecture principles such as Medallion Architecture, DataOps practices, and Data Mesh. By using these patterns, the solution across data products that support Diagnostic Analytics and Predictive Analytics will be delivered.

The following are the highlights of the video:

• Overview of the Titanic dataset and features that will be demonstrated in the video
• The evolution of the data landscape
• The focus of the tutorial on DataOps
• Adopting a product mindset
• Goal of the tutorial is to create a model that predicts survival on the Titanic
• Use of the machine learning life cycle
• Delivery of key stages of the machine learning lifecycle using two data products
• Medallion architecture for the diagnostic analytics data product
• MLflow enabled architecture for the predictive analytics data product
• Chaining of data products together to build capability
• A teaser of what to expect from the next episode

If you're interested in learning about Microsoft Fabric and want to explore it in-depth, the tutorial series is just what you have been searching for. Check out the link provided to access the videos in the series.