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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 onÂ
- Setting up an Azure Machine Learning workspace.Â
- How well you can experiment and train models.
- How efficiently you can optimize and manage models, andÂ
- 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.
Certification