Lesson 1
Machine Learning Engineer Program Introduction
Welcome to the Machine Learning Engineer with Microsoft Azure Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.
Nanodegree Program
Using Azure Machine Learning’s MLOps capabilities, students will gain experience in understanding ML models, protecting people and their data, and controlling the end-to-end ML lifecycle at scale.
Using Azure Machine Learning’s MLOps capabilities, students will gain experience in understanding ML models, protecting people and their data, and controlling the end-to-end ML lifecycle at scale.
Built in collaboration with
Microsoft
Intermediate
3 months
Real-world Projects
Completion Certificate
Last Updated August 30, 2023
Course 1 • 45 minutes
Welcome to Udacity! We're excited to share more about your nanodegree and start this journey with you! In this course, you will learn more about the pre-requisites, structure of the program, and getting started!
Lesson 1
Welcome to the Machine Learning Engineer with Microsoft Azure Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.
Lesson 2
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 4 weeks
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.
Lesson 1
In this lesson, we'll look at an overview of the course, look ahead to your final project, and discuss some of the reasons why—and when—you would want to do Machine Learning in the cloud.
Lesson 2
In this lesson, we'll learn how workspaces and AzureML studio enable you to be more productive as a data scientist or ML engineer.
Lesson 3
Datastores and Datasets are a critical component of cloud computing. We'll learn how to integrate third party datasets and open datasets into our ML pipeline to quickly develop working solutions.
Lesson 4
We'll learn how to manage pipelines and use hyperparameters in experiments, as well as how to automate changes that create huge value in terms of prediction accuracy.
Lesson 5
In this lesson, we'll cover how the Azure ML SDK allows us to programmatically create and manage pipelines. We'll see that this approach makes pipeline creation and management a reproducible process.
Lesson 6
We'll discuss how we can use the Azure ML SDK to do automated ML and create models more quickly and accurately. We'll also have a look at how we can make we can make our models easier to interpret.
Lesson 7 • Project
In the project at the end of this course, you'll have the opportunity to create and optimize an ML pipeline. You'll do this using both HyperDrive and AutoML, so that you can compare the results.
Course 3 • 4 weeks
This course covers a lot of the key concepts of operationalizing Machine Learning, from selecting the appropriate targets for deploying models, to enabling Application Insights, identifying problems in logs, and harnessing the power of Azure’s Pipelines. All these concepts are part of core DevOps pillars that will allow you to demonstrate solid skills for shipping machine learning models into production.
Lesson 1
This is a welcome lesson. In this lesson, you will get an overview of the course
Lesson 2
In this lesson, you will learn about how to authorize operations for machine learning and deploy machine learning models to Azure.
Lesson 3
In this lesson, you will learn about how to consume deployed service and load-test the endpoint.
Lesson 4
In this lesson, you will learn how to create a batch inference pipeline, publish a pipeline and consume the pipeline endpoint.
Lesson 5 • Project
In this project, you will continue to work with the Bank Marketing dataset. You will use Azure to configure a cloud-based machine learning production model, deploy it, and consume it.
Course 4 • 4 weeks
This capstone project gives you the opportunity to use the Azure Machine learning knowledge you have obtained from this Nanodegree to solve the problem of your interest.
Lesson 1 • Project
This capstone project gives you the opportunity to use the Azure Machine learning knowledge you have obtained from this Nanodegree to solve the problem of your interest.
Principal AI Researcher
Erick Galinkin is a hacker and computer scientist, leading research at the intersection of security and artificial intelligence at Rapid7. He has spoken at numerous industry and academic conferences on topics ranging from malware development to game theory in security.
Founder of Pragmatic AI Labs
Noah Gift teaches and consults at top universities and companies globally, including Duke and Northwestern. His areas of expertise are Machine Learning, MLOps, A.I., Data Science, and Cloud Architecture. Noah has authored several bestselling books, including Python for DevOps.
GRADUATE STUDENT AT THE NANYANG TECHNOLOGICAL UNIVERSITY
Soham is an Intel® Software Innovator and a former Deep Learning Researcher at Saama Technologies. He is currently a Masters by Research student at NTU, Singapore. His research is on Edge Computing, IoT and Neuromorphic Hardware.
Instructor
Alfredo Deza is a passionate software engineer, avid open source developer, Vim plugin author, photographer, and former Olympic athlete. He has rebuilt company infrastructure, designed shared storage, and replaced complex build systems, always in search of efficient and resilient environments.
Average Rating: 4.1 Stars
67 Reviews
Stefan H.
February 18, 2023
Unfortunately some things are already outdated since Azure ML has evolved.
Devdatta J.
August 24, 2022
Program Is really good. Get a good knowledge on azure and ML
Cristian A.
March 17, 2022
The content is practical and very related to industry requirements. The hands-on projects are great to get you up to speed on Azure ML. On the minus side: the Azure Udacity Lab environment needs to be improved, or replaced. I wasted too much time trying to work with/around it, and in the end, I ended up creating a free Microsoft Azure trial subscription.
Kwabena N.
February 21, 2022
Expected a lot more coding exercises but after the first project I feel my skill set has improved.
Tugrul G.
February 9, 2022
it going great, thank you
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5 months
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4 months
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Machine Learning Engineer with Microsoft Azure
(34)
4 months
, Intermediate
(87)
4 months
, Advanced
(2)
4 months
, Advanced
(62)
3 months
, Intermediate
(4)
3 months
, Advanced
(235)
3 months
, Intermediate
(1)
3 months
, Advanced
(256)
2 months
, Intermediate
(909)
4 months
, Intermediate
(81)
2 months
, Intermediate
4 weeks
, Intermediate
(41)
5 months
, Intermediate
4 months
, Intermediate
4 weeks
, Advanced
(275)
2 months
, Advanced