DP-604 |  Implement a data science and machine learning solution for AI with Microsoft Fabric
 
Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.
 
Prerequisites
You should be familiar with basic data concepts and terminology.
 
Course Outline
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
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.