Frequently Asked Questions
Everything you need to know about AI Campus Lab programs, requirements, and what to expect.
The Agentic Software Development Life Cycle (SDLC) is our proprietary framework for building AI-native systems. It moves beyond 'vibe coding' by integrating formal architecture, security guardrails, automated testing, and production observability into the AI building process.
The Academy curriculum is structured into 7 modular stages (from Prototype to High-Scale). To advance, you must pass verifiable competency checks including quizzes and code-level audits, ensuring you master the transition from simple prompts to production systems.
No prior experience is required. We start with AI-native builder fundamentals and build up progressively. Our tools and the Agentic SDLC framework are designed to help beginners become capable builders faster than traditional methods.
While beginner-friendly, the Academy scales into deep technical territory. Stage 5-7 covers production observability (Sentry), automated CI/CD, and security hardening—skills highly sought after by modern AI engineering teams.
Yes. You won't just follow tutorials; you'll build and deploy functional systems. Every curriculum stage requires you to 'ship' to a production-style environment, building a verifiable portfolio of work.
It's our flagship curriculum designed to turn learners into end-to-end AI developers. It covers everything from prompt engineering to system architecture, guardrails, and full-lifecycle operations.
Yes. Upon completion of the final mastery stage, you receive a verifiable digital certificate. However, our primary goal is your GitHub portfolio and the production systems you've successfully deployed.
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