About this Program
Email spam filters and autocorrect. Siri, Alexa and Cortana. Self-driving cars. Things that once seemed like science fiction are now part of our daily lives, thanks to machine learning. Every day, machine learning is making our systems and devices smarter — and changing the way we live in profound ways.
In this new three-course certificate program, we’ll explore how machine learning is reshaping the world — and what tools you’ll need to help make that happen. You’ll learn how to implement and evaluate learning algorithms for a broad range of applications. And you’ll work with the state-of-the-art Python libraries for machine learning, such as NumPy and PyTorch. You’ll choose the path of study that most interests you and select classes offered through the UW Department of Electrical & Computer Engineering’s Professional Master’s Program.
▸ Related Article: Hot Jobs: Machine Learning Engineer
Designed For
Those with a programming background who are interested in pursuing a master’s degree in electrical and computer engineering, those with engineering or computer science degrees who are looking to add to their skillsets and professionals from other backgrounds seeking to enter the machine learning field.
See Requirements
Admission Requirements
To apply, you must have:
- Bachelor’s degree from a regionally accredited college or university in the U.S. or its equivalent from a foreign institution
- Programming experience in a high-level language such as Python, Java, C++ or C (Python is heavily used in the program)
- Undergraduate mathematics courses covering linear algebra, calculus, probability and statistics
No previous professional experience is required.
TIME COMMITMENT
Including time in class, you should expect to spend about 12 to 15 hours each week on coursework.
English Proficiency
If English is not your native language, you should have at least intermediate English skills to enroll. To learn more, see English Language Proficiency Requirements – Credit Programs.
International Students
To enroll, international students must have a visa that permits study in the United States. This program does not enable students to obtain or maintain F-1 visa status. For more information, see Admission Requirements for International Students.
Technology Requirements
- Laptop to bring to each class (Windows, Mac or Linux are all acceptable)
Earning the Certificate
You earn the certificate by adhering to the program's attendance policy and successfully completing all required courses. Students must earn a grade of at least 2.7 in each course. For more information, see Earning the Certificate.
What You'll Learn
- How machine learning and deep learning are changing our everyday lives
- How to program and debug deep learning systems on a variety of data sets
- Deep learning programming languages and platforms, including Python and PyTorch
- The fundamentals of deep learning and modern neural networks and their benefits
- How to use machine learning in supervised, unsupervised and self-supervised algorithm settings
Connect With Employers
We’ll host several guest speakers from some of our region’s leading engineering and technology companies. In meetings and trainings with industry experts, you’ll have the opportunity to grow your network and gain an inside perspective into these businesses.
Earn Credit Toward Your Master's Degree
By completing this certificate program, you can earn up to 12 credits toward degree requirements should you later be accepted into the Professional Master's Program. To use these credits, you must obtain graduate nonmatriculated status before you register for the first course of the certificate program.