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Microsoft and Microsoft

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.

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What's inside

Five courses

Create Machine Learning Models in Microsoft Azure

(0 hours)
Machine learning is the foundation for predictive modeling and artificial intelligence. This course will teach you the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Microsoft Azure Machine Learning for Data Scientists

(0 hours)
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code.

Build and Operate Machine Learning Solutions with Azure

(0 hours)
Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions.

Perform data science with Azure Databricks

(0 hours)
In this course, you will learn how to use Apache Spark and Azure Databricks to run data science workloads in the cloud. This is the fourth course in a five-course program that prepares you for the DP-100 certification exam.

Prepare for DP-100: Data Science on Microsoft Azure Exam

(0 hours)
Microsoft certifications provide globally recognized evidence of mastering skills in digital and cloud businesses. This course prepares you to take the DP-100 Azure Data Scientist Associate certification exam.

Learning objectives

  • Manage azure resources for machine learning
  • Run experiments and train models
  • Deploy and operationalize ethical machine learning solutions

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