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Microsoft Azure Data Scientist Associate (DP-100)

About

This Professional Certificate 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 Professional Certificate 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 Professional Certificate 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. By the end of this program, you will be ready to take the DP-100: Designing and Implementing a Data Science Solution on Azure.

Auto Summary

Enhance your expertise with the "Microsoft Azure Data Scientist Associate (DP-100)" course on Coursera. Designed for IT and computer science professionals, this course targets data scientists proficient in Python and machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow. Taught by industry experts, this professional-level course offers flexible subscription options, including Starter and Professional plans. Dive into the world of Azure to build and operate advanced machine learning solutions. Perfect for those looking to elevate their career in data science.