Artificial Intelligence College Credit
Artificial intelligence is reshaping careers across every industry. Knowing how to work with it is quickly becoming an essential skill. Earn college credit from Georgetown University while exploring the fundamentals of AI, from machine learning and neural networks to large language models and ethical design. Through hands-on experimentation with no-code tools, you'll gain clarity on how AI fits into your academic interests and professional goals.
Program Dates
Multi-length courses available throughout the year
Eligibility
For students ages 18 and up
College Credit Course Fees
$3,995
Enrichment Course Fees
$1,895
What's the Difference Between Our College Credit and Enrichment Courses?
Both enrichment and college credit–bearing options feature engaging online lessons and instructional support. College credit–bearing courses include additional coursework and offer the opportunity to earn academic credit upon successful completion. Some course content overlaps across both options, so students are encouraged to choose the format that best aligns with their academic or professional goals.
College Credit Courses$3,995
Length of Course: Multi-length course options
Instruction & Activities: 128 hours
Grading: Letter grade
On Your Own Schedule: ✔️
Academic Support: ✔️
Final Project: ✔️
College Credit Hours: ✔️
Certificate of Completion: Georgetown Transcript
Enrichment Courses$1,895
Length of Course: 1-, 2-, or 4-weeks
Instruction & Activities: 20-30 hours
Grading: Pass/Fail
On Your Own Schedule: ✔️
Academic Support: ✔️
Final Project: ✔️
College Credit Hours:❌
Certificate of Completion:✔️
Understanding, Applying, and Building With Artificial Intelligence
What AI Actually Is and How It Works
Explore what artificial intelligence is, how it learns from data, and where common misconceptions fall short. Record a briefing explaining what AI is and isn't to a non-expert audience.
From Data to Decisions: How Machines Learn
Examine how machine learning models are trained, how neural networks function, and how bias gets encoded into AI systems. Train multiple algorithms using a no-code tool to see how data quality shapes outcomes.
How Large Language Models Actually Work
Discover how large language models generate text, where they fail, and how prompt engineering shapes their outputs. Build a functional AI-powered tool and demonstrate prompt engineering concepts through a recorded briefing.
The Ethics of AI in Practice
Investigate the ethical, social, and environmental implications of AI through real case studies on fairness, privacy, and accountability. Argue whether the benefits of deploying AI at scale justify its hidden costs.
Designing Your AI for Good Project
Transition from exploring AI concepts to designing an original AI-powered solution for a real-world problem. Document your design decisions in a reflective essay and pitch your project in a formal presentation.
Building, Launching, and Looking Ahead
Submit your completed AI prototype and reflect on its ethical implications in a written explanation. Gain perspective on the future of AI and careers across technology, policy, design, and beyond.
What You Gain From This Experience
- A foundational understanding of how AI works, including machine learning, neural networks, and large language models.
- Experience training machine learning models and building functional AI-powered tools using no-code platforms.
- Insight into the ethical, social, and environmental implications of AI through real-world case studies and analysis.
- Practice designing a responsible AI solution from problem identification through system prompt design and user experience.
- Perspective on career paths across technology, policy, design, research, and any field where AI is reshaping work.
- The opportunity to earn official college credit from Georgetown University through graded coursework and projects.
What Sets This Program Apart
A Capstone Project With Real-World Relevance
- Design and build an original AI-powered prototype targeting a real social, environmental, educational, or civic challenge.
- Submit a working demo alongside a written explanation of how it functions and its ethical implications.
Instructional Guidance And Mentorship
- Receive feedback from TAs as you design your AI solution, develop your arguments, and build your final prototype.
- Strengthen your ability to think critically about AI's capabilities and limitations with expert guidance throughout the course.
Flexible Learning With Clear Expectations
- Engage with online coursework designed to fit alongside your current academic, professional, or personal commitments.
- Complete assignments and the Final Capstone Project on a structured timeline that supports independent planning.
Apply Now for the Next Available Course
Course Designed by Georgetown University Faculty
Dr. Frederic Lemieux, Ph.D.
Professor of the Practice and Faculty Director of the Master of Professional Studies programs in Applied Intelligence, Cybersecurity Risk Management, Information Technology Management, and Artificial Intelligence Management
Dr. Frederic Lemieux is an innovative researcher and inspirational leader. He specializes in intelligence studies, cybersecurity, and emerging technologies. Dr. Lemieux has created and managed several cutting-edge academic programs with the Georgetown University School of Continuing Studies including Master's programs in Artificial Intelligence Management, Applied Intelligence, Cybersecurity Risk Management, and Information Technology Management. Dr. Lemieux’s work has been published in numerous preeminent journals and books. He has presented research findings as a panelist and keynote speaker at national and international conferences.
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Frequently Asked Questions
How will you be graded? What are assignments like? How much time do you have to turn around a project? When do you find out if you’re admitted? Find answers to your questions here.
Answers to Your Questions HereScholarships
We offer need-based scholarships for participating students who exhibit high potential and an inability to pay the full tuition.
- If you haven’t applied to the program, apply here. After submitting your application, click “Apply for a need-based scholarship” on the confirmation page to request a scholarship.
- If you’ve already applied to the program, sign in to your profile to check your scholarship status. If we don’t have a scholarship request on file, click “Apply for a need-based scholarship” to request a scholarship.