University of Maryland, College Park
Online Graduate Certificate in Engineering – Engineering AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $18.1K in total tuition, the Online Graduate Certificate in Engineering – Engineering AI sits about 58% above the $11.4K average for AI certificate programs in our database — placing it in the 83rd percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in a STEM field, typically engineering or related, with a minimum GPA of 3.0; relevant technical background or certifications in programming or AI may strengthen applications.
About This Program
This professional certificate offers working engineers technical training in artificial intelligence and machine learning to drive innovation in industrial and government sectors. Coursework concentrates on Machine Learning and Generative AI and LLMs. Most students complete it in about 0.5 years.
Estimated total tuition is $18.1K, above the $11.4K average for AI certificate programs in our database and in the 83rd 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 $130,000.
Career Outcomes
Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI
- 1. AI Systems Engineer
- 2. Machine Learning Engineer
- 3. Engineering AI Specialist
- 4. Predictive Modeling Analyst
What You'll Learn
- Develop AI models for engineering problem-solving and system optimization.
- Apply machine learning algorithms to engineering data analysis and prediction.
- Design intelligent control systems using reinforcement learning techniques.
- Integrate AI tools into engineering workflows for automation and simulation.
- Evaluate ethical implications of AI deployment in engineering applications.
Curriculum Highlights
The structure includes four core courses covering algorithm design, AI-enabled system creation, applied machine learning, and generative AI technologies.
Top Employers
Top employers include engineering firms like Boeing, Lockheed Martin, General Electric, and tech companies such as Google and Microsoft.
Admissions
Applicants must hold a bachelor's degree in a STEM field, typically engineering or related, with a minimum GPA of 3.0; relevant technical background or certifications in programming or AI may strengthen applications.
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+)
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