This course has four modules. In the first module, you will be able to set up an Azure Machine Learning Workspace.
You have to appear for the exam named ‘Designing and Implementing a Data Science Solution on Azure’ to become a ‘Microsoft Certified: Azure Data Scientist Associate’. This exam will validate your skill on
Setting up an Azure Machine Learning workspace.
How well you can experiment and train models.
How efficiently you can optimize and manage models, and
How effectively you can deploy and consume models.
This course has four modules. In the first module, you will be able to set up an Azure Machine Learning Workspace. Here, you will learn to manage data objects and experiment compute contexts.
The next module focuses on executing Experiments and Train Models. In this module, you will learn to create models and run training scripts in Azure Machine Learning Workspace.
Here, you will also learn to generate metrics from an experiment run. The second last module of this course is all about Optimizing and Managing Models.
Here, you will learn to use automated ML, use hyperdrive to tune hyperparameters, and use model explainers to interpret models. The last module of this training course is all about Deploy and Consume Models.
This module will provide you with the required knowledge on how to deploy a model as a service, create a pipeline for batch inferencing, and publish a designer pipeline as a web service.
Prerequisites
This course has no specific prerequisites.
It is ideal if you have adequate knowledge of Microsoft Azure, Machine Learning, and Data Science.
You are expected to have fluency in at least one or more high-level programming languages.
What will you gain after this course
You will be recognized as a Microsoft Certified: Azure Data Scientist Associate
This course will let you learn more details about Data Science
You will be able to earn a wide array of knowledge and skill on AI and ML through this course.
You can expand your job opportunities with the help of this certification.
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