// learn
Learn AI engineering
Same production destination, different starting point. Pick the on-ramp that matches your background — then follow the roadmap.
01Pick your on-ramp
Backend & full-stack
The APIs, services, and databases you already know — now with models as components.
Backend → AI engineerData engineers
You own ingestion and pipelines — the hardest part of RAG. Turn it into an AI role.
Data → RAGCloud & DevOps
CI/CD, observability, and cost control — the exact skills LLMOps hires for.
DevOps → LLMOpsJob seekers & switchers
Build a portfolio and prepare for AI/GenAI interviews you can actually pass.
Interview prep02Learning tracks
LiveRAG in ProductionPipeline, evals, and a reading path — from first RAG app to shipping.LiveAgentic AIAgents, tools, memory, and guardrails — for developers.LiveAI Engineer RoadmapThe 6-stage path from concept to offer.LiveInterview PrepRole map, question bank, and system-design drills.LiveProjectsProduction-shaped portfolio builds with architecture and interview notes.LiveResourcesFree checklists, templates, and starter repos.ReferenceGlossaryThe core vocabulary of production AI, defined.
Production AI Notes
One practical AI engineering email each week
One concept, one architecture, one project idea, and one interview question — written for developers who want to build and ship real AI systems.