UGA Bulletin Logo

AI Technology Capstone Project


Course Description

This capstone course immerses students in a client-focused project designing an AI-enabled networked application for a real business need. Students complete scoping, requirements, planning, design, iterative development, testing, documentation, and management, delivering a prototype and presentation. Emphasis on modern development methodologies, AI integration, and critical evaluation of AI outputs.


Athena Title

AI Technology Capstone Project


Equivalent Courses

Not open to students with credit in MIST 7590


Non-Traditional Format

This course will be taught 95% or more online.


Semester Course Offered

Offered fall


Grading System

A - F (Traditional)


Student learning Outcomes

  • Students will work collaboratively with a client to identify business needs and define the scope, requirements, and objectives for a digital, networked application.
  • Students will plan, design, and develop a functional software solution that demonstrates effective use of concepts from systems analysis, project management, databases, and internet programming.
  • Students will apply project management practices, including task scheduling, risk assessment, progress tracking, and iterative development, to manage a client-driven project from start to finish.
  • Students will use AI-based tools to support project ideation, analysis and risk management, leveraging generative AI to explore solution concepts and evaluate potential challenges.
  • Students will integrate AI features or AI-driven components into the capstone project where appropriate, demonstrating how AI can address specific business or operational problems.
  • Students will deploy or design AI functionality for private, secure business environments, demonstrating an understanding of practical constraints and responsible AI implementation.

Topical Outline

  • Project Initiation and Client Engagement
  • Risk Assessment and AI-Enhanced Planning
  • Detailed Project Planning and Estimation
  • Solution Architecture, Design, and AI Integration
  • Project Execution and Team Leadership
  • Development, Testing, and Quality Assurance
  • Deployment, Training, and Knowledge Transfer
  • Final Capstone Deliverables and Presentation

Syllabus