The Reality Behind AI Systems

Analyze how AI systems detect and learn patterns from data, separating real capabilities from common misconceptions. Identify the practical limitations shaping how these tools perform in the real world.

Inside the Mechanics of Machine Learning

Distinguish between supervised, unsupervised, and reinforcement learning and how each approach drives model development. Examine how bias enters AI systems and affects fairness when training data is flawed or unrepresentative.

Working With Large Language Models

Evaluate how large language models generate text and where common errors like hallucinations and context limitations emerge. Apply effective prompting strategies to build a functional AI-powered tool that addresses a real-world need.

The Ethics and Social Impact of AI

Assess real-world cases where AI raises questions of fairness, transparency, privacy, and accountability. Propose improvements to AI systems by analyzing who benefits from deployment at scale and who bears the costs.

Designing an AI Solution for a Real Problem

Define a real-world problem and design an LLM-based application with clear inputs, outputs, and user interactions. Address responsible design considerations, including bias, access, and misuse, as you develop system prompts and a specialized knowledge base.

Building and Presenting Your AI Project

Design an AI-powered prototype or concept and articulate how it works alongside its ethical implications. Explore how these skills translate to careers in technology, policy, research, and any field AI is beginning to reshape.

A Capstone Project With Real-World Relevance

• Design an original AI-powered prototype or concept and document how it works and the ethical considerations behind it.
• Select a project format that best reflects your interests, from a custom AI tool addressing a real community need to a creative AI-powered project.

Instructional Guidance And Mentorship

• Receive feedback from course mentors as you design your prototype, develop your prompts, and prepare your Final Capstone Project.
• Build confidence in applying AI concepts and ethical reasoning through guided review of your work.

Flexible Learning With Clear Expectations

• Progress through online modules designed to support consistent engagement and skill development.
• Balance research, creative work, and project milestones alongside existing commitments.

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Admissions

Our application process is easy. You can expect a prompt decision.

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.

Scholarships

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.