A future curriculum to turn Aulafy into a complete academy: start without a technical background, move into real building, and finish with evaluated, secure, reproducible systems.
You do not progress by reading a page. You progress when you can explain the decision, reproduce the practice, break it safely, debug it, verify it, and save evidence.
Non-technical
Understand what AI can do, what it should not do alone, and how to work with privacy, sources, and human review.
Advanced non-technical / early technical
Prepare terminal, Git, Python, Docker, local models, and an orderly way to request changes or automations.
Technical / maker
Create tools with RAG, local models, compatible APIs, a minimal interface, logs, and error handling.
Intermediate technical
Design agents with limited tools, permissions, memory, retries, idempotency, state, and human review.
Advanced technical
Serve models, route across providers, measure quality, observe costs, adapt models, and document risks.
All, depending on track
Integrate everything into a complete project: real problem, minimal solution, tests, documentation, demo, and external review.
Start with literacy and business workflows.
Automate real work with human review and privacy.
Start with Codex and foundations.
Ship verifiable AI-assisted changes and apps.
Start with systems, RAG, and serving.
Operate AI with metrics, security, and controlled costs.