We provide virtual course about Implement a data science and machine learning solution for AI with Microsoft Fabric (DP-604) (M-DP604). Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
Course overview:
Learners will understand how to use Microsoft 365 Copilot and its functionalities to improve their productivity. The course focuses on real-world use cases - no coding required - making it ideal for those who want to confidently integrate AI into their work.
Course content:
Module 1 - Get started with data science in Microsoft Fabric:
In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals.
• Introduction
• Understand the data science process
• Explore and process data with Microsoft Fabric
• Train and score models with Microsoft Fabric
• Exercise - Explore data science in Microsoft Fabric
• Knowledge check
• Summary
Module 2 - Explore data for data science with notebooks in Microsoft Fabric:
Microsoft Fabric notebooks serve as a comprehensive tool for data exploration, enabling users to uncover hidden patterns and relationships in their datasets.
• Introduction
• Explore notebooks
• Load data for exploration
• Understand data distribution
• Check for missing data in notebooks
• Apply advanced data exploration techniques
• Visualize charts in notebooks
• Exercise: Use notebook for data exploration in Microsoft Fabric
• Knowledge check
• Summary
Module 3 - Preprocess data with Data Wrangler in Microsoft Fabric:
Data Wrangler serves as a comprehensive tool for preprocessing data. It enables users to clean data, handle missing values, and transform features to build machine learning models.
• Introduction
• Understand Data Wrangler
• Perform data exploration
• Handle missing data
• Transform data with operators
• Exercise: Preprocess data with Data Wrangler in Microsoft Fabric
• Knowledge check
• Summary
Module 4 - Train and track machine learning models with MLflow in Microsoft Fabric:
In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow.
• Introduction
• Understand how to train machine learning models
• Train and track models with MLflow and experiments
• Manage models in Microsoft Fabric
• Exercise - Train and track a model in Microsoft Fabric
• Knowledge check
• Summary
Module 5 - Generate batch predictions using a deployed model in Microsoft Fabric:
Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data.
• Introduction
• Customize the model's behavior for batch scoring
• Prepare data before generating predictions
• Generate and save predictions to a Delta table
• Exercise - Generate and save batch predictions
• Knowledge check
• Summary
Target audience:
Anyone who want virtual course about Implement a data science and machine learning solution for AI with Microsoft Fabric (DP-604).
Prerequisites:
• You should be familiar with basic data concepts and terminology