University of Washington

How this program compares

At an estimated $16.5K in total tuition, the Online Certificate in AI and Machine Learning for Engineering sits about 50% above the $11.0K average for AI certificate programs in our database — placing it in the 81st percentile on cost among the 180 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in engineering, computer science, or a related technical field with demonstrated mathematical background (calculus, linear algebra, probability). Work experience in engineering or technical roles is preferred.

About This Program

This online certificate program teaches engineers how to apply artificial intelligence and machine learning techniques to real-world engineering problems and data. Most students complete it in about 1 year.

It is one of 14 AI-related programs we track in Washington, of which about 57% offer an online option. On price, it comes in cheaper than about 93% of the Washington programs in our data, where typical tuition runs near $51.6K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $122,000.

Design and deploy machine learning models for engineering applications.

Budget planners should note $16.5K estimated total tuition (81st percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

University of Washington positions this certificate track for Machine Learning Engineer careers — typical offers cluster around $122,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Systems Engineer
• 3. Data Scientist
• 4. AI Infrastructure Specialist

What You'll Learn

• Design and deploy machine learning models for engineering applications
• Apply deep learning techniques to complex problem-solving in specialized domains
• Implement AI solutions for industrial systems, data analytics, and automation
• Evaluate and optimize ML algorithms for real-world engineering challenges

Curriculum Highlights

The curriculum focuses on mathematics for AI, foundational coding, and applied machine learning tailored to professional engineering tracks.

Top Employers

Top employers in AI and machine learning include Google, Microsoft, Amazon, Meta, Tesla, and major engineering firms like Boeing and GE.

Admissions

Admission to University of Washington's Online Certificate in AI and Machine Learning for Engineering generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• Resume: Required
• Official Transcripts: Required

Frequently Asked Questions