N a n o d e g r e e p r o g r a m s y L l a b u s



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Machine Learning Engineer for Microsoft Azure Nanodegree Program Syllabus

LEARNING OUTCOMES

LESSON ONE

ML Endpoints

• 

Use a proven tool to find what a baseline for performance is



• 

Gather information about an endpoint input to interact with it

• 

Find what potential issues can happen with incorrect input



LESSON TWO

Pipeline 

Automation

• 

Create a pipeline to further automation when training models



•  Enable a REST API for the pipeline, so other services can 

interact with it

.



Machine Learning Engineer with Microsoft Azure |  6

Need Help? Speak with an Advisor: www.udacity.com/advisor

Our Classroom Experience



REAL-WORLD PROJECTS

Build your skills through industry-relevant projects. Get 

personalized feedback from our network of 900+ project 

reviewers. Our simple interface makes it easy to submit 

your projects as often as you need and receive unlimited 

feedback on your work.



KNOWLEDGE

Find answers to your questions with Knowledge, our 

proprietary wiki. Search questions asked by other students 

and discover in real-time how to solve the challenges that 

you encounter.

STUDENT HUB

Leverage the power of community through a simple, yet 

powerful chat interface built within the classroom. Use 

Student Hub to connect with your technical mentor and 

fellow students in your Nanodegree program.

WORKSPACES

See your code in action. Check the output and quality of 

your code by running them on workspaces that are a part 

of our classroom.



QUIZZES

Check your understanding of concepts learned in the 

program by answering simple and auto-graded quizzes. 

Easily go back to the lessons to brush up on concepts 

anytime you get an answer wrong.


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