WA

Certificates in AI
On-Campus, Online, Hybrid

University of Washington | Certificate in Natural Language Technology

  • Seattle
About This Program

This eight-month certificate program explores the foundational science and technical principles underlying natural language processing and computational linguistics.

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What You'll Learn

  • Students gain expertise in specialized NLP algorithms, language processing techniques, and the application of machine learning to text and speech.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Certificate in Natural Language Technology is a one-year graduate-level program focused on computational techniques for processing, understanding, and generating human language using AI and machine learning.
Typical Course Topics
1. Natural Language Processing Fundamentals 2. Machine Learning for NLP 3. Deep Learning and Transformers 4. Named Entity Recognition and Parsing 5. Sentiment Analysis and Text Classification 6. Language Generation and Machine Translation
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, linguistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and basic machine learning knowledge. Relevant coursework or projects in AI may be preferred.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Gain machine learning skills to advance as NLP Engineer in Cross-Industry AI

Estimated Industry Salary
NLP Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
0.25%
Projected 2024-2034 (BLS)
Common Career Paths:
1. NLP Engineer 2. AI Research Scientist 3. Computational Linguist 4. Machine Learning Specialist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as AI research labs and startups focused on language technologies.
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Program Details
Duration
  • 0.67 Year
Tuition
$ 15,743
Format
On-Campus, Online, Hybrid
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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