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Microsoft Official Curriculum

Role-Based Certification PrepTrack: DP-604T00Official Source: Microsoft Learn
MicrosoftBeginner

Implement a data science and machine learning solution for AI with Microsoft Fabric

This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process, from understanding and exploring data to preparing and transforming datasets for analysis. Students will learn how to train, evaluate, and track machine learning models, as well as how to deploy those models and generate predictions using Microsoft Fabric tools and capabilities.

Duration

1 day

Level

Beginner

Format

Virtual, On-site, or Hybrid

Language

English

Ideal for

AI EngineerDataCertification ReadinessTailored Team Delivery

Audience Profile

Built for these roles

This course is intended for data professionals and practitioners who regularly work with machine learning models and are responsible for building, evaluating, and deploying data science solutions. Students should already be familiar with the data science process, Python, and common open-source machine learning frameworks such as scikit-learn.

Overview

Executive overview

Official Microsoft Learn-aligned instructor-led program for Implement a data science and machine learning solution for AI with Microsoft Fabric.

Readiness

Prerequisites

  • Relevant foundational experience in the target technology area.
  • Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in data scenarios

Strengthen capability in microsoft fabric scenarios

Strengthen capability in role-based scenarios

Curriculum

Curriculum roadmap

1

Data

2

Microsoft Fabric

3

Role-Based

1

Module 1

Implement a data science and machine learning solution for AI in Microsoft Fabric

+

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric. (DP-604T00)

  • Introduction to end-to-end analytics using Microsoft Fabric
  • 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

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryBeginner practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Implement a data science and machine learning solution for AI with Microsoft Fabric using the official Microsoft Learn outline.

  • Align labs to your production environment and platform priorities
  • Add readiness reviews and instructor-led practice sessions
  • Extend into project-specific architecture or delivery coaching

Credentials

Certification & official source

  • DP-604T00

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Enterprise Proof

Trusted delivery outcomes

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid