Spec the AI Stack for an Indoor Service Robot Roadmap
Overview
What this challenge is about.
You will architect an AI stack for a service robot and align it to cost and launch goals. Earn a verifiable certificate.
The scenario
The startup (around 70 people, Series B, around 8,000 units sold in Korea) is targeting a Gen-2 launch in 18 months at a 25 percent lower unit cost and needs a stack story that doesn't paint engineering into a corner.
The Brief
What you'll do, and what you'll demonstrate.
Produce a defensible 18-month AI-stack roadmap that maps each capability to a build/buy/open-source decision with cost and risk.
Earning criteria — what you'll demonstrate
- Map robotics capabilities to build/buy/open-source decisions
- Estimate engineering cost in defensible units (engineer-quarters)
- Surface top risks per capability and define revisit triggers
- Write a strategy doc that survives executive scrutiny
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Ai Strategy
Apply ai strategy to solve real industry problems and demonstrate production-level capability.
- Build Vs Buy Analysis
Apply build vs buy analysis to solve real industry problems and demonstrate production-level capability.
- Roadmap Design
Apply roadmap design to solve real industry problems and demonstrate production-level capability.
- Cost Estimation
Apply cost estimation to solve real industry problems and demonstrate production-level capability.
- Risk Assessment
Apply risk assessment to solve real industry problems and demonstrate production-level capability.
- Vendor Evaluation
Apply vendor evaluation to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Manager
Producing a defensible AI-stack roadmap with cost and risk is the AI product manager's day-one job at any robotics or AI-product company.
This challenge sharpens
- ai-strategy
- build-vs-buy-analysis
- roadmap-design
AI Solutions Architect
Mapping capabilities to build/buy/OSS options across a full AI stack is the solutions architect's bread and butter on consulting and enterprise teams.
This challenge sharpens
- build-vs-buy-analysis
- vendor-evaluation
- ai-strategy
AI Engineer
Understanding the build/buy trade-offs of the stack you'll later ship is what separates senior AI engineers from juniors.
This challenge sharpens
- build-vs-buy-analysis
- cost-estimation
- vendor-evaluation