Your AI career starts from where you're standing. Not from zero.
Find yourself below. Each door leads to a real role, with a stage-by-stage syllabus, free resources, and a project to prove each stage. 45 minutes a day; no certificates to buy.
Which one is you?
Your services experience is the superpower, not baggage. Add AI systems and you're the one who makes it work in the real world.
You already think in edge cases and quality bars. AI systems desperately need people who can prove they work.
Someone has to decide what AI does, where it stops, and what good looks like. That's a manager's job, upgraded.
While batchmates collect certificates, walk in with three working projects and a public build log.
The three destinations
Embed with a customer and make AI actually work in their messy, real environment - integrations, RAG over their data, agents in their workflows. The most-hired AI title of 2026.
Truth: expect client chaos, travel, and legacy systems. $120-210k, but only after you've shipped for real users.
Start this path →Decide what AI agents do and don't do. Scope behavior, own the guardrails, define what good looks like - the human accountable when the agent isn't.
Truth: almost nobody hires this title from outside yet - the realistic route is growing it inside your current job, then moving.
Start this path →Keep AI systems safe, legal, and provably working: DPDP and EU AI Act compliance, eval pipelines, audits, incident response.
Truth: demand is early. Openings sit in banks, GCCs, and big consultancies - fewer roles, less competition, high leverage.
Start this path →