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Launch Your Career in Data Science. Apply data science and machine learning to implement and run machine learning workloads on Azure.
Instructor: Microsoft
25,796 already enrolled
Included with
(450 reviews)
Recommended experience
Intermediate level
Some experience in training machine learning models with Python and open-source frameworks like Scikit-Learn, PyTorch, and Tensorflow.
(450 reviews)
Recommended experience
Intermediate level
Some experience in training machine learning models with Python and open-source frameworks like Scikit-Learn, PyTorch, and Tensorflow.
Manage Azure resources for machine learning
Run experiments and train models
Deploy and operationalize ethical machine learning solutions
Add to your LinkedIn profile
Learners who pass all courses will receive a voucher for 50% off the DP-100 Certification Exam.
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.
Applied Learning Project
Learners will engage in interactive exercises throughout this program that offers opportunities to practice and implement what they are learning. They will work directly in the Azure Portal and use the Microsoft Learn Sandbox. This is a free environment that allows learners to explore Microsoft Azure and get hands-on with live Microsoft Azure resources and services. For example, when you learn about training a deep neural network; you will work in a temporary Azure environment called the Sandbox. The beauty about this is that you will be working with real technology but in a controlled environment, which allows you to apply what you learn, and at your own pace. You will need a Microsoft account. If you don't have one, you can create one for free. The Learn Sandbox allows free, fixed-time access to a cloud subscription with no credit card required. Learners can safely explore, create, and manage resources without the fear of incurring costs or "breaking production".
How to plan and create a working environment for data science workloads on Azure
How to run data experiments and train predictive models
Identify different kinds of machine learning models
How to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model
Create regression, classification, and clustering models using Azure Machine Learning designer
Use Azure Machine Learning to create and publish models without writing code
Learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions
Work with Data and Computer in Azure Machine Learning
Use the Azure Machine Learning SDK to train a model. Select models and protect sensitive data
Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning
Harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads.
Perform machine learning with Azure Databricks. Work with User-Defined Function (UDF) in Azure Databricks
Work with DataFrames in Azure Databricks. Use Azure Databricks and the Apache Spark notebook to process large amounts of data
Build and query a Delta Lake
Outline the key points covered in the Data Science on Microsoft Azure Exam course
Describe best practices for preparing for the Exam DP-100: Designing and Implementing a Data Science Solution on Azure
Demonstrate proficiency in the skills measured in the DP-100: Designing and Implementing a Data Science Solution on Azure
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Our goal at Microsoft is to empower every individual and organization on the planet to achieve more. In this next revolution of digital transformation, growth is being driven by technology. Our integrated cloud approach creates an unmatched platform for digital transformation. We address the real-world needs of customers by seamlessly integrating Microsoft 365, Dynamics 365, LinkedIn, GitHub, Microsoft Power Platform, and Azure to unlock business value for every organization—from large enterprises to family-run businesses. The backbone and foundation of this is Azure.
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It should take you approximately twenty-five weeks to complete this Professional Certificate. You will be assigned approximately one to two hours worth of work to complete every week for the twenty-five weeks it takes to complete the five courses.
Knowledge of basic mathematical concepts is important and some experience with Python is also beneficial.
Yes. We highly recommend taking the courses of each certificate program in the order they are presented. The content in the courses builds on information from earlier courses. The final course contains a practice exam that assesses your knowledge of the content covered in the previous courses. It makes the most sense to take them in the order they come in.
In short, no. Completing this Professional Certificate will not earn you professional or academic credits. If you need to know whether a Coursera Certificate will count toward accreditation for a specific organization or program, please ask a representative of that organization or program.
This Professional Certificate consists of 5 courses to help prepare you 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 in operating machine learning solutions at cloud scale using Azure Machine Learning. When you have completed this specialization, you should be able 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.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (2/1/2024 - 2/1/2025)
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