Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Create Machine Learning Models in Microsoft Azure

Create Machine Learning Models in Microsoft Azure
This course is part of Microsoft Azure Data Scientist Associate (DP-100) Exam Prep Professional Certificate

Instructor: Microsoft
Access provided by Martin Luther Christian University
39,693 already enrolled
329 reviews
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What you'll learn
How to plan and create a working environment for data science workloads on Azure
How to run data experiments and train predictive models
Skills you'll gain
- Regression Analysis
- Unsupervised Learning
- Convolutional Neural Networks
- Data Analysis
- Image Analysis
- MLOps (Machine Learning Operations)
- Data Science
- Machine Learning
- Deep Learning
- Applied Machine Learning
- Predictive Modeling
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Visualization
- Transfer Learning
- Exploratory Data Analysis
Details to know

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Reviewed on Feb 7, 2023
This course is very easy to understand and have a great value for new data science professionals. To the point explanations and engaging content by team Microsoft.
Reviewed on Jul 31, 2025
some answers are wrong in 4th course. Rest of the course was very comprehensive and a must do before dp100.
Reviewed on Feb 20, 2022
Great course with lots of insights. Definetly worth it!





