Microsoft Fabric and AI Learning Hackathon: Copilot in Fabric
![](http://dataplatformblogcdn.azureedge.net/wp-content/uploads/2024/10/Microsoft-Fabric-and-AI-Learning-Hackathon_Devpost-Banner-A-1024x126.png)
This session is part of the Microsoft Fabric and AI Learning Hackathon which focuses on how you can leverage Copilot in Microsoft Fabric. It will guide you through the various capabilities that Copilot offers for you to use Microsoft Fabric, empowering you to enhance productivity and streamline your workflows. We will dive deep into practical applications, demonstrate real-world examples, and provide insights on integrating Copilot seamlessly into your daily operations. By the end of this session, you will have a comprehensive understanding of how to maximize the potential of Copilot to ingest, transform, clean and train machine learning models inside of Microsoft Fabric with the help of Copilot.
What’s covered in the Session
Copilot for Data Factory
During this session we look at how you can use Copilot to ingest and transform for our dataset. Copilot for Data Factory enables you to have an intelligent mashup code generation to transform data using natural language and generates explanations to help you understand complex queries in your dataflow. We also cover you can use Copilot to add steps to an existing query by creating new columns, explaining an existing query and how you can create a new query that has sample data generated by Copilot for further transformation.
Copilot for Data Science & Data Engineering
During the session we look at how you leverage Copilot for Data Science & Data Engineering in notebooks to help you understand existing code that loads ad transforms the customer data, transform the data to remove empty values and add new columns to aid in further analysis. We also cover how you can use Copilot to visualize the customer data by various demographics and create a machine learning model to predict the likelihood of a customer to purchase a bike to help the marketing team build a targeted campaign.
The session also covers an overview of other copilots in Microsoft Fabric. For example, Copilot for Real-Time Intelligence enables you to effortlessly turn natural language queries into Kusto Query Language. It acts as bridge between everyday language and KQL’s technical intricacies, and in doing so removes adoption barriers for data analysts and citizen data scientists. With Copilot for Power BI, you can create reports automatically by selecting the topic for a report or by prompting it on a particular topic.
Microsoft Fabric and AI learning hackathon details
The hackathon is open to anyone looking to expand their learning through a special Microsoft Learn Skills Challenge focused on Microsoft Fabric and apply their expertise to create a solution aligned to one of the five Hackathon prize categories.
Whether you are a beginner interested in learning something new, a seasoned maker looking to create the next big thing, or a professional developer/DB admin/PowerBI enthusiast that wants to expand your skillset by building with Microsoft Fabric – all are welcome! Learn more here.
You can also learn more about how to use Copilot in Microsoft Fabric by going over the Copilot Learning Hub materials with real-world scenarios.