CertificateOn-CampusPart-Time

University of Washington

Graduate Certificate in Modern AI Methods

Seattle, Washington1 years$18K total tuition
Visit Program Website β†—

Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $18.4K in total tuition, the Graduate Certificate in Modern AI Methods sits about 61% above the $11.4K average for AI certificate programs in our database β€” placing it in the 84th percentile on cost among the 236 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$18K total
Format
On-Campus
Schedule
Part-Time
GRE / GMAT
Not Required
Concentrations
Natural Language Processing (NLP), Computer Vision

Typical admitted student: A bachelor's degree in a STEM field, computer science, or related discipline with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Relevant coursework in mathematics, statistics, or prior AI exposure is preferred.

About This Program

This year-long graduate certificate builds professional expertise in core and emerging areas of modern artificial intelligence and machine learning for working professionals. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 1 year.

Estimated total tuition is $18.4K, above the $11.4K average for AI certificate programs in our database and in the 84th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

  • 1. AI/ML Engineer
  • 2. Data Scientist
  • 3. AI Research Analyst
  • 4. Machine Learning Specialist

What You'll Learn

  • Implement modern machine learning algorithms for data-driven predictions.
  • Design and train deep neural networks for complex pattern recognition.
  • Apply natural language processing techniques to text analysis and generation.
  • Develop and deploy generative AI models for creative and practical applications.

Curriculum Highlights

The sequence includes courses on modern AI methods, computer vision, and natural language processing, concluding with a specialized capstone project.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and AI-focused firms such as OpenAI and NVIDIA.

Admissions

A bachelor's degree in a STEM field, computer science, or related discipline with a minimum GPA of 3.0 is required, along with demonstrated programming experience in Python or equivalent. Relevant coursework in mathematics, statistics, or prior AI exposure is preferred.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.