The Weak-to-Strong Learning Path
Close the "AI literacy gap" by learning to steer more capable AI through precision, verification, and intent alignment.
Local Models First
Start with local SLMs (Llama 3.2) to build fundamentals without dependency
Prove Capability
80% success rate unlocks stronger models—earn access through competence
Deploy Projects
Build portfolio-ready projects across Web, Data Science, and Cloud tracks
Why Weak-to-Strong?
Unlike generic coding platforms, we focus on AI supervision skills
Anti-Blind-Prompting
Explain your approach before coding, then explain your output after. No "just build it" allowed—develop intentional AI interaction patterns.
Progressive Model Access
Earn Claude Haiku by mastering local models, then unlock Sonnet through demonstrated competence—not subscription tiers.
Red Team Checkpoints
Security challenges embedded in the curriculum teach you to spot XSS, SQL injection, and PII exposure in AI-generated code.
Portfolio-Ready Output
Three specialized tracks produce real deployable projects: responsive web apps, data pipelines, and cloud infrastructure.