This course is part of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

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Microsoft

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Microsoft Azure Data Scientist Associate (DP-100) Professional CertificateMicrosoft

About this Course

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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.
This is the second course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam.

The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a 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. 

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. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students 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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Includes hands on learning projects.

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Course 2 of 5 in the

Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Intermediate Level

General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.

Approx. 11 hours to complete

English

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What you will learn

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

Skills you will gain

Machine Learning
regression
Microsoft Azure
Regression Analysis
Supervised Learning

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 5 in the

Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Intermediate Level

General programming knowledge or experience would be beneficial. You need to have basic computer literacy and proficiency in the English language.

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.18/5 (12 Ratings)

Microsoft

236,310 Learners

41 Courses

Offered by

Microsoft

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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Syllabus - What you will learn from this course

Week1

Week 1

3 hours to complete

Use Automated Machine Learning in Azure Machine Learning

3 hours to complete

3 videos (Total 5 min), 8 readings, 3 quizzes

3 videos

Introduction to Create No-code Predictive Models with Azure Machine Learning1mAzure Machine Learning to Train and Deploy a Predictive Model2mWeekly Summary41s

8 readings

Course Syllabus10mHow to be successful in this course5mExercise Part 1: Create a Microsoft Azure Machine Learning Workspace 10mExercise Part 2: Create Compute Resources10mExercise Part 3: Explore Data10mExercise Part 4: Train a Machine Learning Model25mExercise Part 5: Deploy a Model as a Service 15mExercise Part 6: Clean-up10m

3 practice exercises

Exercise Quiz30mKnowledge Check15mTest Prep21m

Week2

Week 2

3 hours to complete

Create a Regression Model with Azure Machine Learning Designer

3 hours to complete

2 videos (Total 2 min), 8 readings, 3 quizzes

2 videos

What is Regression?1mWeekly Summary43s

8 readings

Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace1mExercise Part 2: Create Compute Resources10mExercise Part 3: Explore Data15mExercise Part 4: Create and Run a Training Pipeline 18mExercise Part 5: Evaluate a Regression Model 10mExercise Part 6: Create an Inference Pipeline 12mExercise Part 7: Deploy a Predictive Service8mExercise Part 8: Clean-up 10m

3 practice exercises

Exercise Quiz30mKnowledge Check15mTest Prep21m

Week3

Week 3

3 hours to complete

Create a Classification Model with Azure AI

3 hours to complete

2 videos (Total 2 min), 8 readings, 3 quizzes

2 videos

What is Classification?1mWeekly Summary30s

8 readings

Exercise Part 1: Create an Azure Machine Learning Workspace10mExercise Part 2: Create Compute Resources10mExercise Part 3: Explore Data15mExercise Part 4: Create and Run a Training Pipeline18mExercise Part 5: Evaluate a Classification Model15mExercise Part 6: Create an Inference Pipeline12mExercise Part 7: Deploy a predictive service10mExercise Part 8: Clean-up10m

3 practice exercises

Exercise Quiz30mKnowledge Check15mTest Prep21m

Week4

Week 4

3 hours to complete

Create a Clustering Model with Azure AI

3 hours to complete

3 videos (Total 3 min), 9 readings, 3 quizzes

3 videos

What is Clustering?1mWeekly Summary55sCourse wrap-up1m

9 readings

Exercise: Create a Microsoft Azure Machine Learning workspace8m Exercise Part 1: Create Compute Resources10mExercise Part 2: Explore Data 12mExercise Part 3: Create and Run a Training Pipeline 12mExercise Part 4: Evaluate a Classification Model 10mExercise Part 5: Create an Inference Pipeline 12mExercise Part 6: Deploy a Predictive Service 10mExercise Part 7: Clean-up 10mWhat to expect next10m

3 practice exercises

Exercise Quiz30mKnowledge Check15mTest Prep21m

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TOP REVIEWS FROM MICROSOFT AZURE MACHINE LEARNING FOR DATA SCIENTISTS

by MOJan 14, 2023

Great content with very helpful practical exercises

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About the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Who should take this course?
IT professionals interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.
Working IT professionals looking for additional skills or credentials to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. IT professionals looking to specialize in the specific area of Artificial intelligence on Azure.
What will I learn from this course?
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.
How long will it take to complete this course?
You should expect to spend at least an hour every week for four weeks to complete all aspects of this course.

More questions? Visit the Learner Help Center.

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Microsoft Azure Machine Learning for Data Scientists

About this Course

What you will learn

Skills you will gain

Instructor

Microsoft

Offered by

Microsoft

Syllabus - What you will learn from this course

Use Automated Machine Learning in Azure Machine Learning

Create a Regression Model with Azure Machine Learning Designer

Create a Classification Model with Azure AI

Create a Clustering Model with Azure AI

Reviews

TOP REVIEWS FROM MICROSOFT AZURE MACHINE LEARNING FOR DATA SCIENTISTS

About the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

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Microsoft Azure Machine Learning for Data Scientists

About this Course

What you will learn

Skills you will gain

Instructor

Microsoft

Offered by

Microsoft

Syllabus - What you will learn from this course

Use Automated Machine Learning in Azure Machine Learning

Create a Regression Model with Azure Machine Learning Designer

Create a Classification Model with Azure AI

Create a Clustering Model with Azure AI

Reviews

TOP REVIEWS FROM MICROSOFT AZURE MACHINE LEARNING FOR DATA SCIENTISTS

About the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate

Frequently Asked Questions

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Learn Something New

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