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.
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ESTIMATED TIME 3 months for each program
At 10 hrs/week
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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.
if u need some new shit, why dont you buy that shit
THIS IS THE SAME OLD SHIT.
Is this include intro to machine learning?
Hello everyone, I got a username and password with access to all Udacity courses. Reread the message “access to all Udacity courses” My question, how do I download the full course? For later make available to all.
how i can run that course on moible (android )
please upload this course
https://www.udacity.com/course/sensor-fusion-engineer-nanodegree–nd313
https://mlminds.com/ml-course.php
Request for the above course which is amazing and very best for Machine Learning and Data Science.
Data structures and algorithms nanodegree Udacity please
Data Structures and Algorithms nanodegree, please
Not Updated Version Plz update it where Kaggle and AWS included and Also Instructors /…..
Projects Are Not included in this course Can You please Provide Updated One with All The Projects Included….
update deep learning please 🙂
This is not updated one. all the content is same
Update the deep learning nanodegree please. If there is a problem , can you tell us ?
Please upload Data Engineer Nanodegree nd027.
This has complete content or just updated content from version 1
Thanks for this course
Can you upload the first part of the course
Program one: Intro to machine learning
https://www.udacity.com/course/machine-learning-engineer-nanodegree–nd009t
Why u upload same course again ????
Version update!
Content is same as previous!
this is version1. AWS not included. version 2 projects are different! could you please confirm?
bacod klean banyak mau nya anying, udh gratis protes lagi tempek
Update Deep learning nanodegree, please
THank youu <3
Update deep learning, please 🙂