Microsoft Azure Data Scientist Associate - DP-100 Test Prep Specialization
This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Specialization teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at cloud scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam.
WHAT YOU WILL LEARN
- To manage Azure resources for machine learning; run experiments and train models; and deploy and operationalize ethical machine learning solutions.
- How to plan and create a working environment for data science workloads on Azure and how to run data experiments and train predictive models.
- You will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions.
- You will learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads.
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