University of Tennessee, Knoxville

University of Tennessee, Knoxville

About This Program

This graduate-level credential is designed for professionals and students looking to enhance their technical skills in machine learning and automated systems.

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What You'll Learn

Participants learn to bridge the gap between theoretical AI concepts and practical implementation using tools for natural language processing and computer vision.

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 University of Tennessee, Knoxville, visit their official program website.

Typical Course Topics

                   The 15-credit program includes a required course in applied AI for research, a graduate capstone, and electives in deep learning or robotics.

Part-Time

Program Specializations:

Machine Learning, Deep Learning

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

Admissions

Careers

Build machine learning skills to advance as AI Engineer in Cross-Industry AI

Program Details

Duration

1 Years

Format

On-Campus, Online

Specializations

Machine Learning, Deep Learning

Official Resources

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