Duke University

Duke University

About This Program

This engineering degree provides a solid foundation in the theory and application of artificial intelligence, with an emphasis on building and deploying intelligent systems for commercial and industrial use.

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What You'll Learn

Learners master traditional machine learning and deep learning models, full-stack software development for AI products, and the legal and ethical implications of autonomous technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by Duke University, visit their official program website.

Typical Course Topics

                   The program is structured with four technical AI/ML courses, three product development courses, three technical electives for career specialization, and a significant industry-based internship or project.

Flexible

Program Specializations:

Deep Learning, MLOps/AI Engineering

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

Lead as Machine Learning Engineer in Business AI with machine learning expertise

Program Details

Duration

1 Years

Tuition

102930

View funding options →

Format

On-Campus, Online, Hybrid

Specializations

Deep Learning, MLOps/AI Engineering

Official Resources

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