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 Omantel
39,672 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
- Image Analysis
- Artificial Intelligence and Machine Learning (AI/ML)
- Regression Analysis
- Predictive Modeling
- Data Science
- MLOps (Machine Learning Operations)
- Applied Machine Learning
- Machine Learning
- Data Visualization
- Unsupervised Learning
- Data Analysis
- Deep Learning
- Transfer Learning
- Exploratory Data Analysis
- Convolutional Neural Networks
Details to know

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Reviewed on Dec 3, 2023
Condense but solid course on ML basics. AND first time I was guided in a cloud provider for ML use cases without having to shed tears from frustration. Very good to gain first familiarity with Azure.
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!





