A practical, project-first guide across seven tracks — Foundations, Red-teaming / LLM security, AI Engineer (agentic apps), Coding Agents, Building & fine-tuning models, Infra & MLOps, and AI researcher — for anyone moving into AI/LLM work. Every resource lists the goal, what you build, cost and time, and an honest read on how useful it is. Each track also has prove-it projects and competitions to showcase and validate your skills. Career and demand notes are general observations worth checking against current job postings. Progress is saved in your browser where supported.
Fit:Start hereCoreHigh valueGo deeperSituationalProgress (saved in your browser): click a pill →To doDoingDone
Role overview for all roles — responsibilities · industries · demand · salaryMonthly update log — what each refresh changed
This guide is updated periodically as new courses, tools, and certifications appear (a scheduled monthly review checks each track). Use each course's status pill (To do → Doing → Done) to track progress — it's saved in your browser via localStorage where supported; some embedded viewers don't persist it.