You need to implement data science and machine learning solutions but want to leverage Microsoft Fabric’s integrated AI capabilities? Fabric provides a unified environment for building, training and deploying ML models alongside your data engineering and analytics workloads. Without practical AI skills on Fabric, data teams cannot fully capitalize on their data assets for predictive analytics.
This official Microsoft DP-604 Applied Skills training enables you in 1 day to implement data science and machine learning solutions using Microsoft Fabric. Guided by MCT-certified trainers, you learn to explore and prepare data with Spark notebooks, train machine learning models using MLflow, evaluate model performance, and generate predictions at scale. You practice building end-to-end ML workflows integrated with Fabric’s lakehouse architecture. This hands-on credential validates your AI implementation skills on Microsoft Fabric. Sessions are available in person in Geneva and Lausanne or via virtual classroom.
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
Module 2: Get started with data science in Microsoft Fabric
Module 3: Explore data for data science with notebooks in Microsoft Fabric
Module 4: Preprocess data with Data Wrangler in Microsoft Fabric
Module 5: Train and track machine learning models with MLflow in Microsoft Fabric
Module 6: Generate batch predictions using a deployed model in Microsoft Fabric
Microsoft Fabric represents a major evolution in the Microsoft analytics ecosystem. By bringing together data ingestion, storage, processing, and visualization within a unified platform, Fabric significantly simplifies the work of data scientists. Rather than juggling multiple disconnected tools, you now have a complete environment where each stage of a machine learning model lifecycle integrates naturally.
The DP-604 training enables you to master this integrated approach and gain productivity on your analytical projects. Swiss companies adopting Fabric report a significant reduction in the time needed to move from data exploration to production model deployment. By combining lakehouses, notebooks, and MLflow in a unified interface, Fabric eliminates manual data transfer steps between tools and reduces errors linked to fragmented environments.
This one-day training covers the complete data science lifecycle in Microsoft Fabric. You start with data preparation using lakehouses and notebooks, learning to clean, transform, and enrich your datasets. You then move on to model training using the MLflow and Scikit-learn libraries integrated into the Fabric environment.
The training covers classification algorithms for categorical predictions, regression models for numerical estimates, and clustering techniques for segmentation. You also learn to evaluate your models with metrics such as accuracy, recall, RMSE, and AUC-ROC. Each module includes practical exercises on official Microsoft cloud labs, allowing you to work on realistic scenarios throughout the day.
The DP-604 training is designed for data analysts, junior data scientists, and BI professionals who want to extend their skills toward machine learning in the Microsoft ecosystem. If you already work with Power BI or Azure Synapse and want to integrate predictive capabilities into your analyses, this training is the ideal entry point. Prerequisites include basic Python knowledge and familiarity with fundamental data analysis concepts. Professionals transitioning into data roles will also find in this training a structured approach to acquiring applied machine learning skills.
Upon completing this training, you are prepared to take the Microsoft DP-604 Applied Skill assessment. Unlike traditional multiple-choice certifications, Applied Skills evaluate your practical skills in a real lab environment. You must perform concrete data science tasks in Microsoft Fabric, which validates your ability to apply your knowledge in a professional setting. This validation is recognized by employers and appears on your Microsoft Learn profile. Our MCT trainers prepare you for this assessment by having you work on scenarios similar to those in the exam. The assessment is conducted entirely online and can be taken in the weeks following the training.
As a Microsoft Learning Partner, ITTA delivers the DP-604 training with official MOC courseware and Microsoft cloud labs. Our MCT-certified trainers have field experience in data science and share concrete feedback from real projects. Sessions are offered in Geneva and Lausanne in in-person or virtual classroom format, with small groups to foster exchanges and personalized follow-up. You leave with extended access to the labs to continue practicing after the training.
Is Python knowledge required for the DP-604 training?
Basic Python skills are recommended as Fabric notebooks use this language for model training. Knowledge of data structures and loops is sufficient to follow the exercises.
What is the difference between DP-604 and DP-600?
The DP-600 training covers the entire Microsoft Fabric platform with a focus on analytical engineering. The DP-604 training focuses specifically on the data science and machine learning aspects of Fabric.
Is the DP-604 Applied Skill recognized by employers?
Yes, Applied Skills are official Microsoft validations that attest to practical skills. They complement traditional certifications and are visible on your professional Microsoft profile.
Can this training be taken remotely?
Yes, ITTA offers the DP-604 training in a virtual classroom with the same content, the same labs, and the same MCT trainer as in-person sessions in Geneva or Lausanne.
What tools are used during the training?
You work directly in the Microsoft Fabric environment using notebooks, lakehouses, and integrated MLflow features. The labs are hosted in the Microsoft cloud.
Does this training prepare for a data scientist role?
It is an excellent introduction to applied machine learning in the Microsoft ecosystem. For a full data scientist role, it can be complemented by more in-depth training in statistics and algorithms.
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