Ship a Real Prototype, Not Just Slides
You leave with a functioning AI demo built with real tools, not a theoretical concept.
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Design, build, and pitch a working AI prototype that solves a genuine business or everyday problem, guided by industry mentors from idea to demo day.
You leave with a functioning AI demo built with real tools, not a theoretical concept.
Every project starts from a genuine business or everyday pain point identified through actual research.
Dedicated sessions on storytelling and demo delivery so you can present your solution with confidence.
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Sourcing problems from business and everyday life
Conducting quick user interviews and pain-point research
Evaluating feasibility for an AI-based approach
Writing a clear problem statement
Landscape of AI APIs and models (language, vision, prediction)
Choosing between pre-trained models, fine-tuning, and no-code platforms
Cost, latency, and data considerations
Hands-on: calling your first AI API
Mapping user flow and core features
Wireframing a simple interface
Defining success metrics for your prototype
Scoping a minimum viable prototype (MVP)
Setting up your development or no-code environment
Integrating an AI model or API into your app
Building a basic front-end interface
Handling errors and edge cases gracefully
Testing core functionality
Running lightweight usability tests
Collecting and prioritizing feedback
Iterating on features and UX
Measuring impact against success metrics
Identifying bias and fairness risks
Data privacy and security basics
Transparency and explainability for end users
Checklist for responsible AI deployment
Defining your target user and market
Articulating value proposition and differentiation
Basic monetization and cost models
Anticipating stakeholder questions
Structuring a compelling problem-solution narrative
Designing an effective pitch deck
Demo storytelling: showing, not just telling
Handling Q&A confidently
Mock pitch sessions with peer feedback
Refining timing and delivery
Polishing the prototype for demo day
Final checklist before presenting
Final prototype presentations
Feedback from mentors and guest reviewers
Next steps: scaling or continuing your project
Course wrap-up and resources for further learning
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