Implement a data science and machine learning solution for AI with Microsoft Fabric (DP-604)

Course 8705

  • Duration: 1 day
  • Language: English
  • Level: Foundation

Dive into the data science process and discover how to train machine learning models for artificial intelligence within Microsoft Fabric. This course covers loading data into a Lakehouse, exploring data using notebooks, preprocessing data with Data Wrangler, training models with MLflow, and generating batch predictions with deployed models.

DP-604 Course Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

DP-604 Course Information

In this course, you will learn how to:

  • Load and manage data in a Lakehouse within Microsoft Fabric.
  • Utilise notebooks for comprehensive data exploration.
  • Preprocess data using Microsoft Fabric's Data Wrangler for optimised model training.
  • Train and manage machine learning models with MLflow, tracking experiments effectively.
  • Generate batch predictions to apply AI in practical scenarios.

Prerequisites

  • Familiarity with basic data concepts and terminology.
  • Understanding of the Python programming language and machine learning frameworks like scikit-learn is advantageous.

DP-604 Course Outline

Get acquainted with the data science process within Microsoft Fabric, including managing data, notebooks, experiments, and models.

Utilise Microsoft Fabric notebooks for in-depth data exploration, covering loading data, understanding data distribution, handling missing data, and applying advanced exploration techniques.

Learn how to preprocess data effectively using Data Wrangler in Microsoft Fabric, including data cleaning, handling missing values, and feature transformation.

Discover how to train machine learning models in notebooks, track experiments with MLflow, and manage models efficiently within Microsoft Fabric.

Learn to utilise machine learning models deployed in Microsoft Fabric to generate batch predictions, enhancing data enrichment and analysis capabilities.

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DP-604 Course FAQs

No. Applied Skills credentials are not replacing Certifications. We are expanding our credentialing portfolio to better meet the needs of our learners and customers by allowing people to validate particular skill sets with this new offering.

Certifications are role-based and evaluate a broader range of skills needed to be successful in critical roles that organisations need to be successful in today's rapidly changing technical environment.

Applied Skills credentials are scenario-based and evaluate a narrower skill set specific to an organisation's critical business problem or challenge.

If you want to demonstrate that you have the range of skills needed to succeed in a given job role, a Certification is the right way to go. If you want to validate your skills on a specific business problem or scenario your organisation faces, an Applied Skills credential will make more sense.

Here are some key differentiators between Certifications and Applied Skills:

  • Breadth of skills validated: Certifications typically validate 4-6 skill sets, while Applied Skills validate one specific skill set.
  • Focus: Certifications are job role-based, while Applied Skills are product-based.
  • Purpose: Certifications validate skills needed for the technical aspects of job roles that leverage Microsoft solutions and technologies. Applied Skills validate specific scenarios hindering an organisation's digital transform organisation's

Many of the Applied Skills credentials can be used to help you prepare for Certification exams. Because Applied Skills are awarded based on performance within a lab, that experience may set you up for success on a Certification. All role-based Certification exams require experience, so earning an Applied Skills credential is one way to get some of the experience needed to pass the exam. However, not all skills assessed on a Certification exam will have an associated Applied Skills assessment lab, so you should not rely on Applied Skills alone. Visit how to prepare for a Certification exam.

If you want to demonstrate that you have skill sets that the Certification did not assess, are "Certification adjacent," or are needed for a specific project that you would like to do or are working on, an applied skill credential would be a great way to show your employer and peers that you have those skills and the skills validated by your Certification.

It depends on your technical expertise and why you want to earn a Microsoft credential.

If you are exploring technology or just beginning your learning journey in technology, starting with a fundamentals certification makes the most sense because it focuses on ensuring you have the foundational knowledge you need to get started.

Suppose you have experience and want to explore how Microsoft technologies and solutions are used to solve critical business problems. In that case, an Applied Skills credential is a great way to validate fundamental world skills focused on specific projects or scenarios.

If you have some experience and are pursuing a job that leverages Microsoft solutions, a role-based certification is the logical solution to validate role-based skills. Note that some Applied Skills credentials relate to our certifications and may provide another way to prepare for a certification exam.