DP-604: Implement a Data Science and Machine Learning Solution for AI with Microsoft

In this one-day course students explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.

This one-day course prepares you for an Applied Skills credential.
For more than 30 years, Microsoft's industry-recognised certifications have provided proof of world-class technical proficiency for in-demand job roles. In today’s ever-changing business environment, there are also times when you need verified project-specific skills. Microsoft Applied Skills is a new verifiable credential that validates that you have the targeted skills needed to implement critical projects aligned to business goals and objectives. Applied Skills gives you a new opportunity to put your skills centre-stage, empowering you to showcase what you can do and what you can bring to key projects in your organisation.

• Data Scientists
• Data Analysts
• Data Engineer

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

After completing this course, students will be able to:

• Understand the data science process
• Train models with notebooks in Microsoft Fabric
• Track model training metrics with MLflow and experiments
• Load data and perform initial data exploration
• Gain knowledge about different types of data distributions
• Understand the concept of missing data, and strategies to handle missing data effectively
• Visualise data using various data visualisation techniques and libraries
• Learn Data Wrangler features, and its role in the data science workflow
• Perform different types of preprocessing operations in data science
• Learn how to handle missing values, and imputation strategie
• Use one-hot encoding and other techniques to convert categorical data into a format suitable for machine learning algorithms.
• Train machine learning models with open-source frameworks
• Train models with notebooks in Microsoft Fabric
• Track model training metrics with MLflow and experiments in Microsoft Fabric
• Save a model in the Microsoft Fabric workspace
• Prepare a dataset for batch predictions
• Apply the model to dataset to generate new predictions
• Save the predictions to a Delta table

• Get started with data science in Microsoft Fabric
• Explore data for data science with notebooks in Microsoft Fabric
• Preprocess data with Data Wrangler in Microsoft Fabric
• Train and track machine learning models with MLflow in Microsoft Fabric
• Generate batch predictions using a deployed model in Microsoft Fabric