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Microsoft Certified: Azure Data Scientist - Associate Exam DP-100 Training and Certification


Nux software Solutions offers the best Training on Microsoft Azure Data Scientist - Associate Exam DP-100

Microsoft Azure Data Scientist - Associate Exam DP-100 is one of the best cloud solutions available and in order to be an expert on this particular application Nux software Solutions is your one-stop destination. Over the years, we have been one of the premium institutes when it comes to rendering quality training in various domains of IT. We have a team of experts and highly qualified faculties who have been rendering quality training to our students.

The Microsoft Azure Data Scientist - Associate Exam DP-100

At Nux software Solutions, we have designed a highly customized and effective course material that is based in lab work and lots of hands-on application. We have made sure that our students got maximum practical exposure that would help them to achieve their goals in the professional fields.


Microsoft Certified: Azure Data Scientist - Associate Exam DP-100 Syllabus


Module 1: - Introduction to Azure Machine Learning
Lab: Creating an Azure Machine Learning Workspace, Lab: Working with Azure Machine Learning Tools


Module 2: - No-Code Machine Learning with Designer
Lab: Creating a Training Pipeline with the Azure ML Designer, Lab: Deploying a Service with the Azure ML Designer


Module 3: - Running Experiments and Training Models
Lab: Running Experiments, Lab: Training and Registering Models


Module 4: - Working with Data
Lab: Working with Datastores, Lab: Working with Datasets


Module 5: - Compute Contexts
Lab: Working with Environments, Lab: Working with Compute Targets


Module 6: - Orchestrating Operations with Pipelines
Lab: Creating a Pipeline, Lab: Publishing a Pipeline


Module 7: - Deploying and Consuming Models
Lab: Creating a Real-time Inferencing Service, Lab: Creating a Batch Inferencing Service


Module 8: - Training Optimal Models
Lab: Tuning Hyperparameters, Lab: Using Automated Machine Learning


Module 9: - Interpreting Models
Lab: Reviewing Automated Machine Learning Explanations, Lab: Interpreting Models


Module 10: - Monitoring Models
Lab: Monitoring a Model with Application Insights, Lab: Monitoring Data Drift