| Person-in-Charge | Youakim Badr |
|---|---|
| Program Code | AIDT |
| Campus(es) | Great Valley World Campus |
Artificial intelligence is a primary driver of digital transformation, enabling organizations to embed intelligence into end-to-end processes, modernize decision workflows, and automate operations with measurable improvements in speed, quality, and adaptability. The Artificial Intelligence for Digital Transformation graduate certificate prepares graduate students and working professionals to translate AI capabilities into operational value by developing practical expertise in (1) responsible and governable AI, (2) autonomous AI agent systems, and (3) AI-driven automation and planning for real-world organizational processes. Collectively, the certificate enables students to infuse AI into organizational processes and automate operations using autonomous agents and planning techniques, while maintaining ethical and responsible use of AI through governance, risk controls, and rigorous evaluation.
The certificate is designed as a stackable credential within the Master of Artificial Intelligence (M.AI.) and supports the Applied & Generative AI Option. Certificate coursework may be applied toward the M.AI. degree, subject to restrictions outlined in GCAC-309 Transfer Credit.
Certificate students who wish to have certificate courses applied towards a master's degree must apply and be admitted to that degree program.
Effective Semester: Fall 2026
Expiration Semester: Fall 2031
Admission Requirements
Applicants apply for admission to the program via the Graduate School application for admission. Requirements listed here are in addition to Graduate Council policies listed under GCAC-300 Admissions Policies. International applicants may be required to satisfy an English proficiency requirement; see GCAC-305 Admission Requirements for International Students for more information.
The successful applicant is generally expected to have a minimum combined junior/senior grade-point average of 3.0 (B) on a 4.0 scale.
Certificate Requirements
Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.
All courses must be completed with a minimum grade of C or better and an overall GPA of 3.0.
| Code | Title | Credits |
|---|---|---|
| A-I 840 | Responsible AI | 3 |
| A-I 850 | Autonomous AI Agents | 3 |
| A-I 860 | AI-Driven Automation and Planning | 3 |
| Total Credits | 9 | |
Learning Outcomes
- KNOW: Demonstrate proficiency in identifying disciplines in the AI landscape and mastering foundational concepts in machine learning, intelligent agents, search and generative AI techniques.
- APPLY/CREATE: Demonstrate mastery of concepts and methods for modeling, designing, developing, and testing data-centric AI systems in business and entrepreneurship using no code / low code tools.
- COMMUNICATE: Communicate technical designs, governance considerations, and performance results to diverse stakeholders through clear documentation and presentations.
- PROFESSIONAL PRACTICE: Apply ethical, privacy, security, and governance practices to the lifecycle of AI systems, and collaborate effectively in interdisciplinary teams.