Duke University

Duke University

About This Program

This program specialization focuses on the technical engineering aspects of deploying machine learning models, training students to bridge the gap between AI theory and production-grade software applications.

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What You'll Learn

Students develop expertise in designing data pipelines, building scalable ML systems, and managing the full lifecycle of AI products, including MLOps and secure software development practices.

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 curriculum emphasizes hands-on learning through technical AI courses, product development modules, and specialized tracks in machine learning engineering or data science, including an industry-sponsored capstone.

Flexible

Program Specializations:

Deep Learning, MLOps/AI Engineering

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

Admissions

Careers

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

Program Details

Duration

1 Years

Tuition

101610

View funding options →

Format

On-Campus, Online

Specializations

Deep Learning, MLOps/AI Engineering

Official Resources

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