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

Length: 1 Day(s)     Cost:$950 + GST

= Scheduled class     = Guaranteed to run     = Fully booked

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LOCATION July August September October
Virtual Class

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