DP-100 || Digitalearn Solution

Course Details

Microsoft
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DP-100

By Digitalearn Team
21/Jan/2026
0 Students

Course Description

The Microsoft DP-100 course is designed for aspiring and practicing data scientists who want to build, train, evaluate, and deploy machine learning models using Azure Machine Learning. This course focuses on applying data science and machine learning techniques to solve real-world business problems in a cloud-based environment.

Participants will gain hands-on experience with preparing data, training models, optimizing algorithms, and deploying end-to-end machine learning solutions on Azure. The course emphasizes practical implementation using Python, Jupyter Notebooks, and Azure Machine Learning workspaces, aligning closely with industry use cases and best practices.

By the end of this course, learners will be able to design scalable machine learning workflows, manage experiments, automate model training, and deploy models securely for inference. This course also prepares candidates for the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam by Microsoft.

Who should take this course:

Aspiring Data Scientists and Machine Learning Engineers
Professionals working with data analytics and AI solutions
Candidates preparing for the Microsoft DP-100 certification exam
Developers looking to implement ML solutions on Azure

Key Skills You Will Gain:

Data preparation and feature engineering
Training and evaluating machine learning models
Using Azure Machine Learning for experiments and pipelines
Model deployment, monitoring, and optimization
Applying responsible and secure AI practices

This course bridges the gap between theoretical data science concepts and real-world cloud implementation, making it ideal for professionals aiming to build a strong career in data science and AI on Azure.