20M+ developers use GitHub Copilot. Cursor just hit a $29B valuation. 84% of developers use AI tools daily. Learn to be the best among them — architecture, testing, deployment, plus enough CS fundamentals to catch AI's mistakes.
Every student completes the Foundations core plus domain-specific courses. You don't just learn to code — you learn to build with AI as a daily tool.
IDE setup, version managers, Docker, AI coding assistants (Copilot/Cursor/Claude Code), CI/CD pipelines, monitoring tools, scaffolding tools (V0/Bolt.new).
Reading unfamiliar codebases, debugging, Git workflow, test infrastructure, web app architecture patterns.
End-to-end feature ownership, technical design documents, effort estimation, database migrations, performance diagnosis.
Production deployment, on-call practices, monitoring and alerting, build-vs-buy decisions, technical debt management.
Frontend/API/database request tracing, processing patterns, concurrency, API patterns, architecture decisions, database modeling.
Client pipeline, scoping and pricing, client communication, self-review practices, freelance business operations.
Shipping under pressure, wearing multiple hats, rapid technology decisions, direct customer interaction, product direction.
Agile ceremonies, code review culture, technical writing, architecture discussions, mentoring, career development.
AI-proficient developers command a 21–43% salary premium. BLS projects 15% job growth through 2034 — "much faster than average." Every path here includes the AI fluency that traditional CS graduates don't have.
Build applications for companies of any size. Entry: $78K–$95K. Mid-career: $118K–$145K. Senior: $155K–$200K+. AI-augmented productivity makes you 2–3x more effective than a traditional junior dev.
Frontend, backend, database, deployment — the complete picture. Entry: $78K–$95K. Mid-career: $118K–$145K. Senior: $155K–$200K+. AI tools make it practical for one person to cover the full stack.
Build and launch your own software product. AI tools have collapsed the cost — Lovable hit $20M ARR in 2 months, built by a small team. One person with AI fluency can build what used to require a funded startup.
Infrastructure, CI/CD, cloud architecture, and reliability. Entry: $75K–$95K. Mid-career: $95K–$135K. Senior: $135K–$250K+. Average platform engineer salary: $172K.
Not homework. Portfolio-worthy projects that demonstrate real capability to employers or customers.
Development environment setup documentation and AI-assisted workflow audit. Configure your complete toolchain, document your setup, and audit how AI coding assistants integrate into your daily workflow.
End-to-end feature: design doc → implementation → deployment → monitoring. Take a feature from technical design through production deployment with full observability.
Full-stack application with CI/CD, testing, and production monitoring. Build a complete application with automated pipelines, comprehensive test coverage, and production-grade observability.
Your capstone: ship a real product to real users. This is the project you walk into interviews with — proof that you can build, deploy, and operate software in production.
For students who can commit full-time. Get career-ready as fast as your skills allow.
For people working while learning. Same depth, flexible scheduling.
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