University of Washington
Online Certificate in AI and Machine Learning for Engineering
How this program compares
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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.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI
- 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
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2
- Resume: Required
- Official Transcripts: Required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not required for certificate programs
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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