The University of Vermont

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant technical background or work experience. GRE is typically not required for certificate programs.

About This Program

This professional certificate provides an overview of AI technologies with a focus on designing ethical systems that prioritize human needs and societal impact.

Career Outcomes

Gain covers skills to advance as AI Engineer in Cross-Industry AI

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Ethics Consultant

What You'll Learn

• Design and implement machine learning models for real-world applications.
• Apply deep learning techniques to process and analyze complex datasets.
• Evaluate ethical implications and biases in AI systems.
• Develop AI solutions using programming, algorithms, and data analytics.

Curriculum Highlights

The curriculum covers core AI methods, ethical frameworks, governance, and the integration of AI tools into human-centered workflows.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as consulting firms and research organizations.

Admissions

A bachelor's degree in a related field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant technical background or work experience. GRE is typically not required for certificate programs.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2
• 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+)