DP-604: Implement a Data Science Machine Learning Solution for AI with Microsoft Fabric Course Outline

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview
This course is designed to equip learners with the skills to implement data science and machine learning solutions using Microsoft Fabric. Participants will gain hands-on experience managing data, notebooks, experiments, and models, enabling them to seamlessly integrate data from across their organization and collaborate effectively with other data professionals. By the end of the course, attendees will be proficient in data exploration, preprocessing, model training, and generating predictions, all within the robust Microsoft Fabric environment.

Throughout the course, learners will delve into the data science process, explore datasets using notebooks, preprocess data with Data Wrangler, and utilize MLflow for model management. This comprehensive training ensures that participants can confidently build and deploy machine learning models to generate actionable insights, enhancing their data science capabilities.

Audience Profile
This course is ideal for data scientists, data analysts, and machine learning engineers who are looking to enhance their skills in implementing data science solutions using Microsoft Fabric. It is also suitable for professionals responsible for managing and integrating data within their organizations, seeking to leverage advanced data science tools and techniques.

Prerequisites
You should be familiar with basic data concepts and terminology.

COURSE OUTLINE

Module 1: Get started with data science in Microsoft Fabric
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

Module 2: Explore data for data science with notebooks in Microsoft Fabric
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

Module 3: Preprocess data with Data Wrangler in Microsoft Fabric
Understand Data Wrangler
Perform data exploration
Handle missing data
Transform data with operators
Exercise: Preprocess data with Data Wrangler in Microsoft Fabric

Module 4: Train and track machine learning models with MLflow in Microsoft Fabric
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

Module 5: Generate batch predictions using a deployed model in Microsoft Fabric
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
View outline in Word

ADP604

Attend hands-on, instructor-led DP-604: Implement a Data Science Machine Learning Solution for AI with Microsoft Fabric training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

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