Proven Outcomes and Professional Skills
Clear skills, measurable progress, and proof you can show employers. We define what "good" looks like so you know exactly what you're working toward.
Skills Map
Comprehensive Skills Across Four Domains
Every program builds competency across Build, Backend, Cloud, and Professional skills
Build
- Responsive UI with Tailwind
- Forms & validation
- Dashboard layouts
- Authentication flows
- Component libraries
Backend
- REST API design
- Data modeling
- CRUD operations
- Input validation
- Error handling
Cloud
- Vercel deployment
- Environment variables
- Storage concepts (S3)
- DNS basics (Route 53)
- Database hosting
Professional
- Git & GitHub workflow
- Agile methodology
- Documentation
- Technical demos
- Team collaboration
Progression
Foundation → Builder → Industry-Ready
Clear milestones so you always know where you stand
Foundation
Core concepts and tool familiarity
- Navigate development environment
- Basic Git operations
- Read and modify existing code
- Use AI tools effectively
- Understand project structure
Builder
Create and ship working projects
- Build features independently
- Debug systematically
- Deploy to production
- Write clean, maintainable code
- Collaborate via GitHub
Industry-Ready
Professional-grade work and habits
- Architect solutions end-to-end
- Lead project discussions
- Document and present work
- Handle code reviews
- Make technical decisions
Rubrics
What 'good' looks like
Clear standards so you know when your work meets professional expectations
Code Quality
- Code is readable and well-organized
- Follows consistent naming conventions
- Functions are small and focused
- No unnecessary complexity
Documentation
- README explains what the project does
- Setup instructions are clear and complete
- Key decisions are documented
- Comments explain 'why', not 'what'
Deployment
- Project is live and accessible
- Environment variables handled properly
- No secrets in repository
- Basic error handling in place
Professional Habits
- Commits are small and descriptive
- Branch naming is consistent
- Pull requests are reviewable
- Issues track work in progress
Guide
How to present projects to hiring managers
Lead with the problem
Start by explaining what problem your project solves. "I built this because..." makes your work immediately relevant and shows you think about real needs.
Show your decisions
Explain why you chose specific tools and approaches. "I used Prisma because..." demonstrates technical judgment, not just following tutorials.
Highlight challenges overcome
Share a specific bug or blocker and how you solved it. This shows debugging ability and resilience—exactly what employers want to see.
Demonstrate iteration
Point to your commit history and explain how the project evolved. "First I built X, then I improved it by..." shows professional growth mindset.
Every project you build at AI Campus Lab will be presentation-ready with documentation, live deployment, and GitHub history that tells your story.
Ready to build these skills?
Join a cohort and start working toward industry-ready competency with clear milestones and professional feedback.