University of Washington
Artificial Intelligence Graduate Certificate
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 Artificial Intelligence Graduate Certificate 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.
Admission Snapshot
Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.
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 Machine Learning. 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 Computer Vision Engineer in Cross-Industry AI Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $120,000.
Career Outcomes
Gain machine learning skills to advance as Computer Vision Engineer in Cross-Industry AI
- 1. AI Engineer
- 2. Machine Learning Specialist
- 3. Data Scientist
- 4. AI Ethics Consultant
What You'll Learn
- Develop and train machine learning models for predictive analytics.
- Implement deep learning architectures for image and language processing.
- Apply AI techniques to real-world problems in data analysis.
- Evaluate ethical implications and biases in AI systems.
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, Amazon, Microsoft, and AI-focused firms such as OpenAI and NVIDIA.
Admissions
A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming experience. Prerequisites in calculus, linear algebra, and statistics are often expected.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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+)
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