- 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.
- 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.
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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.