DP-100 – Designing and Implementing a Data Science Solution on Azure – Partner Skills Academy

The content of this exam was updated on May 20, 2021. Please download the skills measured document below to see what changed.Candidates for this exam should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Microsoft Azure.Responsibilities for this role include planning and creating a suitable working environment for data science workloads on Azure. They run data experiments and train predictive models. In addition, they manage, optimize, and deploy machine learning models into production.A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning and Azure Databricks.You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.

Course Content

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Create machine learning models 5 Modules

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Learning Path Content

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Explore and analyze data with Python

Train and evaluate regression models

Train and evaluate classification models

Train and evaluate clustering models

Train and evaluate deep learning models

Microsoft Azure AI Fundamentals: Explore visual tools for machine learning 4 Modules

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Learning Path Content

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Use Automated Machine Learning in Azure Machine Learning

Create a regression model with Azure Machine Learning designer

Create a classification model with Azure Machine Learning designer

Create a clustering model with Azure Machine Learning designer

Build and operate machine learning solutions with Azure Machine Learning 15 Modules

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Introduction to the Azure Machine Learning SDK

Train a machine learning model with Azure Machine Learning

Work with Data in Azure Machine Learning

Work with Compute in Azure Machine Learning

Orchestrate machine learning with pipelines

Deploy real-time machine learning services with Azure Machine Learning

Deploy batch inference pipelines with Azure Machine Learning

Tune hyperparameters with Azure Machine Learning

Automate machine learning model selection with Azure Machine Learning

Explore differential privacy

Explain machine learning models with Azure Machine Learning

Detect and mitigate unfairness in models with Azure Machine Learning

Monitor models with Azure Machine Learning

Monitor data drift with Azure Machine Learning

Explore security concepts in Azure Machine Learning

Implement a machine learning solution with Azure Databricks 10 Modules

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Learning Path Content

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Get started with Azure Databricks

Work with data in Azure Databricks

Prepare data for machine learning with Azure Databricks

Train a machine learning model with Azure Databricks

Use MLflow to track experiments in Azure Databricks

Manage machine learning models in Azure Databricks

Track Azure Databricks experiments in Azure Machine Learning

Deploy Azure Databricks models in Azure Machine Learning

Tune hyperparameters with Azure Databricks

Distributed deep learning with Horovod and Azure Databricks