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DP-604T00: Implement a data science and machine learning solution for AI with Microsoft Fabric

4.68(2,706 Ratings)
Duration
1 Day
Upcoming Batch
13 November 2026
Batch Options
8 hours & 4 hours
Language
English / Arabic

Course Overview

The DP-604T00: Implement a Data Science and Machine Learning Solution for AI with Microsoft Fabric course offered by CounselTrain is designed to equip data professionals with the skills needed to develop and deploy AI solutions using Microsoft Fabric. This course covers the entire data science lifecycle, from data preparation and feature engineering to model training and deployment. Participants will learn how to utilize Microsoft Fabric’s integrated tools and services to streamline data workflows, enhance model accuracy, and implement scalable machine learning solutions. The course emphasizes practical, hands-on experience, enabling learners to build and manage AI projects effectively, making it ideal for data scientists, machine learning engineers, and AI practitioners aiming to leverage Microsoft Fabric in their AI initiatives.

Course Content

7 modules · 8 topics
01Module 1:Introduction1 topic
  • Introduce yourself and get familiar with your audience
02Module 2: Get started with data science in Microsoft Fabric2 topics
  • Present section: Get started with data science in Microsoft Fabric
  • Demo the exercise
03Module 3: Explore data for data science with notebooks in Microsoft Fabric1 topic
  • Present section: Explore data for data science with notebooks in Microsoft Fabric
04Module 4:Preprocess data with Data Wrangler in Microsoft Fabric1 topic
  • Present section: Preprocess data with Data Wrangler in Microsoft Fabric
05Module 5: Train and track machine learning models with MLflow in Microsoft Fabric1 topic
  • Present section: Train and track machine learning models with MLflow in Microsoft Fabric (
06Module 6: Generate batch predictions using a deployed model in Microsoft Fabric1 topic
  • Present section: Generate batch predictions using a deployed model in Microsoft Fabric
07Module 7:Conclusion – Wrap-up1 topic
  • Create opportunity for final questions and follow-up actions

Schedule Dates

4 upcoming batches
Session Type
Physical sessions run at our training facility.
DP-604T00: Implement a data science and machine learning solution for AI with Microsoft Fabric
Batch DatesDurationBatch OptionsLanguageAction
13 November 2026Next1 Day8 hours & 4 hoursEnglish / Arabic
13 February 20271 Day8 hours & 4 hoursEnglish / Arabic
13 May 20271 Day8 hours & 4 hoursEnglish / Arabic
13 August 20271 Day8 hours & 4 hoursEnglish / Arabic

Can’t find a suitable date? Request a schedule that fits your team.

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FAQs

What are the prerequisites for this course?

Participants should have a basic understanding of data science concepts, machine learning principles, and experience with programming languages such as Python. Familiarity with cloud computing and Microsoft Azure services is also beneficial.

 

What skills will I gain from this course?

By completing this course, you will gain skills in data preparation, feature engineering, model training and evaluation, deploying machine learning models, and using Microsoft Fabric’s integrated tools to manage and scale AI solutions.

 

Is there a certification associated with this course?

While this course does not directly provide a certification, it prepares participants for certifications related to data science, machine learning, and AI on Microsoft platforms.

 

Will there be any hands-on labs or practical exercises?

Yes, the course includes hands-on labs and practical exercises to help participants apply the concepts learned and gain practical experience with Microsoft Fabric.

 

How We Deliver

Flexible Training Options to Meet Your Needs

Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.

Select the method that best suits your needs.

Online Instructor-Led Training

Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.

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Highlights

Live SessionsRecorded AccessGlobal
Upcoming Batch
13 November 2026