[Udacity] MACHINE LEARNING ENGINEER NANODEGREE V2.0.0
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
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
1-on-1 technical mentor
Personal career coach and career services
Flexible learning program
- 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
AVERAGE TIME
BENEFITS INCLUDE
- Real-world projects from industry experts
- 1-on-1 technical mentor
- Personal career coach & career services
GET STARTED WITH
Machine Learning Engineer
LEARN
AVERAGE TIME
BENEFITS INCLUDE
- Real-world projects from industry experts
- 1-on-1 technical mentor
- Personal career coach & career services
Numbers don’t lie. See what difference it makes in career searches.*
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
Average salary increase for graduates who found a new, better job within six months of graduation.
Thank you so much