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Designing and Implementing a Data Science Solution on Azure (DP-100): Explore Data, and Run Experiments

Dive into data exploration and experimentation in Azure ML with this DP-100 course. Master AutoML for model selection, custom model training in notebooks using MLflow and responsible AI, and hyperparameter optimization for scalable solutions.

Advanced
1h 30m
(0)

Created by Smit Shah

Last Updated Dec 05, 2025

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  • Course

Designing and Implementing a Data Science Solution on Azure (DP-100): Explore Data, and Run Experiments

Dive into data exploration and experimentation in Azure ML with this DP-100 course. Master AutoML for model selection, custom model training in notebooks using MLflow and responsible AI, and hyperparameter optimization for scalable solutions.

Advanced
1h 30m
(0)

Created by Smit Shah

Last Updated Dec 05, 2025

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

In data science workflows on Azure, professionals often face challenges in efficiently exploring data, experimenting with models, and optimizing performance at scale.

In this course, “Designing and Implementing a Data Science Solution on Azure (DP-100): Explore Data, and Run Experiments”, you’ll gain the ability to tackle common ML bottlenecks, enabling scalable, ethical data science solutions on Azure.

First, you’ll gain an understanding of foundational Machine Learning concepts.

Next, you’ll discover how to build Models with Supervised Learning using Azure ML Service.

Finally, you’ll learn how to build Models with Transformer Architecture using Azure ML Service.

When you’re finished with this course, you’ll have the skills and knowledge of Exploring Data and Running Experiments on Azure ML needed to pass the DP-100 examination.

Designing and Implementing a Data Science Solution on Azure (DP-100): Explore Data, and Run Experiments
Advanced
1h 30m
(0)
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About the author
Smit Shah - Pluralsight course - Designing and Implementing a Data Science Solution on Azure (DP-100): Explore Data, and Run Experiments
Smit Shah
2 courses 0.0 author rating 0 ratings

Smit Shah is a Microsoft Certified Trainer (MCT), with a demonstrated history of working in the information technology and delivering training for various multinational companies including Deloitte, Accenture, Cognizant, LTIMindTree, etc since the past 7 years. Skilled in Data Science, Machine Learning, Deep Learning, GenAI, Analytics, Statistics, Azure, Python, DBMS and much more.

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