AWS GenAI Trailblazer Portfolio Challenge
Build a portfolio-ready AI project in 90 minutes.
In this fast-paced, hands-on challenge, participants work in teams to create a professional PR/FAQ, build a working PartyRock GenAI application, document their work, and practice presenting—everything needed for a first AI portfolio piece.
At HUMANBULB, we believe access to emerging technology should come with real practice, not just lectures. The GenAI Trailblazer Portfolio Challenge gives learners an on-ramp to AI product building, digital confidence, and portfolio-ready proof of skills—all in a format that’s collaborative, supportive, and high-energy.
Who this is for?
This challenge is designed for:
Students and early-career learners who want a real GenAI project for their portfolio
Anyone curious about product thinking + AI building, even if it’s your first time
Builders who want structured practice: idea → PR/FAQ → app → demo
What you build:
Teams choose from a set of student success app use cases and turn one into:
a PR/FAQ (the “working backwards” customer story)
a PartyRock application that takes inputs and generates helpful outputs
Examples of app types include: campus resource navigator, event discovery assistant, study environment generator, career pathway planner, student budget helper, internship finder, scholarship matcher, and more.
What happens during the challenge?
90-minute, team-based build sprint where each participant has a role and your team moves through:
Collaboration & Build (build the first version together)
Testing & Validation (test, refine, improve)
Final Prep (get ready to present)
Team presentations are 5 minutes total:
Team intro (1 min)
PR/FAQ (2 min)
Live app demo (3 min)
How teams are structured
Participants work in a 6-role team model, such as:
PartyRock Developer
Business Case Lead
Presentation Creator
App Demonstrator
Application Tester
Technical Doc Lead
This makes the experience feel like a real product team: build, test, document, and present.
What you’ll leave with:
A PR/FAQ written using Amazon’s “Working Backwards” method
A functioning AWS PartyRock app
Basic technical documentation for your build
A short presentation experience (practice telling the story + demo)
Career keywords you can use on your resume/LinkedIn:
Amazon Working Backwards • GenAI Development • Product Management • AI/ML Solutions • Technical Presentation
How projects are evaluated:
Projects are evaluated using a rubric that looks at:
Business Impact (40%) – PR/FAQ quality, clarity, presentation
Technical Excellence (40%) – PartyRock feature use, implementation, working demo
Innovation (20%) – unique approach, creativity, original thinking
