In this program, you’ll master valuable machine learning skills that are in demand across countless industries. Investment levels in this space continue to rise, thousands of highly-valued startups have entered the field, and demand for machine learning talent shows no signs of leveling. Program graduates emerge uniquely prepared to excel in machine learning roles.
Get started learning Machine Learning through interactive content like quizzes, videos, and hands-on programs. Our learn-by-doing approach is the most effective way to learn Machine Learning skills.
Advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.
Get free access to Amazon Web Services - the same platform used by Machine Learning Engineers around the globe - to build and deploy your models.
Learn skills that will prepare you for jobs in machine learning and you’ll be ready to deliver immediate value to any organization. You will also work with experienced careers professionals on crafting your LinkedIn and Github profiles.
The Machine Learning Nanodegree program is designed to ensure your long-term success in the field. The skills you learn will prepare you for jobs in machine learning, and you’ll be ready to deliver immediate value to any organization. We will support you throughout your learning journey; from gaining valuable technical and career skills, to landing your dream job.Designed to prepare you for career success in machine learning.
Machine learning experts are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.Create your portfolio and open up a world of opportunities.
Work with experienced careers professionals for tailored advice on how to improve your search and impress recruiters. Including feedback on your LinkedIn, GitHub, and professional brand.Work with career professionals to impress recruiters
40,000+ highly-skilled grads make up your new career community. Ready to collaborate, share referrals, or hire your own team? The Udacity Alumni Network is here for you!Connect with our global community to grow your career.
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
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.
Alexis is an applied mathematician with a Masters in computer science from Brown University and a Masters in applied mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.
Jay is a software engineer, the founder of Qaym (an Arabic-language review site), and the Investment Principal at the Riyad Taqnia Fund, a $120 million venture capital fund focused on high-technology startups.
As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass and more.
Ortal Arel is a former computer engineering professor. She holds a PhD in Computer Engineering from the University of Tennessee. Her doctoral research work was in the area of applied cryptography.
Excellent program with hands on approach on relevant topics and projects. The mentors are super helpful and proactive in making you succeed.
This is an exceptional program for students who seek professional experience for the "job-hunting" ..!!
very nice learning journey. i enjoyed.
Haven't found a job yet, but I still feel this Nanodegree was very well put together and covered a lot of the bases. I've had a lot to learn outside the program to get the breadth I wanted, like Bayesian statistical programming (PyMC3, Stan), and ML classifiers like LSTM or autoencoders, but I realize Udacity can't cover everything. I definitely cut my teeth in ML with this course and so I'm a happy customer.
Become a Machine Learning Engineer. Master skills by building models that solve real-world challenges.
Learn to deploy state-of-the-art deep learning and reinforcement learning algorithms, and build a job-ready portfolio of projects.