[Udacity] Machine Learning Engineer Nanodegree v2.0.0 [FCO]

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  • Last checkedJun. 03rd '19
  • Date uploadedJun. 03rd '19
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NANODEGREE PROGRAM–nd009t

Become a Machine Learning Engineer

WE HAVE TWO PROGRAMS TO CHOOSE FROM BASED ON YOUR EXPERIENCE

Start with Intro to Machine Learning if you are a beginner.
Start with Machine Learning Engineer if you already have some experience.

• ESTIMATED TIME 3 months for each program

At 10 hrs/week

• ENROLL BY June 12, 2019

Get access to classroom immediately on enrollment

IN COLLABORATION WITH

• Kaggle
• AWS

Choose your Program

The Intro to Machine Learning program is for students with Python experience, and covers foundational machine learning algorithms. The Machine Learning Engineer program is for students with some ML background, and covers production and deployment.

Program One: Intro to Machine Learning

SYLLABUS

Intro to Machine Learning

Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.

This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.

3 months to complete

Program Two: Machine Learning Engineer

SYLLABUS

Machine Learning Engineer

Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.

This program is intended for students who already have knowledge of machine learning algorithms .

3 months to complete

All our Nanodegree programs include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

1-on-1 technical mentor

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals.
Succeed with Personalised Services
We provide services customised for your needs at every step of your learning journey to ensure your success!

Experienced Project Reviewers

Individual 1-on-1 Mentorship

Personal Career Coach
Experienced Project Reviewers
REVIEWS BY THE NUMBERS
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time

REVIEWER SERVICES

• Personalized feedback
• Unlimited submissions and feedback loops
• Practical tips and industry best practices
• Additional suggested resources to improve

Learn with the best

Cezanne Camacho

CURRICULUM LEAD

Cezanne is a machine learning educator with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she’s applied machine learning to medical diagnostic applications.

Mat Leonard

INSTRUCTOR

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Luis Serrano

INSTRUCTOR

Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Dan Romuald Mbanga

INSTRUCTOR

Dan leads Amazon AI’s Business Development efforts for Machine Learning Services. Day to day, he works with customers—from startups to enterprises—to ensure they are successful at building and deploying models on Amazon SageMaker.

Jennifer Staab

INSTRUCTOR

Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.

Sean Carrell

INSTRUCTOR

Sean Carrell is a former research mathematician specializing in Algebraic Combinatorics. He completed his PhD and Postdoctoral Fellowship at the University of Waterloo, Canada.

Josh Bernhard

DATA SCIENTIST AT NERD WALLET

Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He’s used data science for work ranging from cancer research to process automation.

Jay Alammar

INSTRUCTOR

Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.

Andrew Paster

INSTRUCTOR

Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

GET STARTED WITH

Intro to Machine Learning

LEARN

Build a solid foundation in Supervised, Unsupervised, and Deep Learning. If you do not have experience with machine learning, take this before the Data Scientist Nanodegree program.
Clock

AVERAGE TIME

On average, successful students take 3 months to complete this Nanodegree Program.
Project

BENEFITS INCLUDE

• Real-world projects from industry experts
• 1-on-1 technical mentor
• Personal career coach & career services

GET STARTED WITH

Machine Learning Engineer

Pie Chart

LEARN

Learn advanced machine learning techniques and algorithms, including deployment to a production environment.

AVERAGE TIME

On average, successful students take 3 months to complete this Nanodegree Program.

BENEFITS INCLUDE

• Real-world projects from industry experts
• 1-on-1 technical mentor
• Personal career coach & career services

The Udacity Impact

Numbers don’t lie. See what difference it makes in career searches.*

84%
BETTER JOBS
Career-seeking and job-ready graduates found a new, better job within six months of graduation.

$24,000
SALARY INCREASE
Average salary increase for graduates who found a new, better job within six months of graduation.

*Based on the results of a survey conducted in 2017 with students in the US only.

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