Phase 0 · Base Camp
BASE CAMP · API-01
The Bridge
- LLM mental model for engineers
- Model APIs, async & streaming
- Prompt fundamentals
- Cost & token thinking
Ship: your first model-powered call
The exact route to shipping production AI systems — the skills, the order, and the projects that prove it. No hype, no "30 days to AI mastery." Just the map we're walking ourselves, in public.
2,140 engineers already have it · built in the open · zero fluff
You're not behind because you're not good.
You're unsure because the map you trained on is being redrawn — and most of what's online is either panic or hype. This is the third option: the actual route, plotted by someone a few chapters ahead and shipping in public.
Specific skills, honest sequencing, no hand-waving. Enough to judge whether it's worth your email — the full version is the download.
Most tutorials and bootcamps stop at Phase 1 — they teach you to build a demo. Phase 2 is what makes that demo production-ready: evaluation, observability, fine-tuning tradeoffs, inference optimization, MLOps, and reliability. These are the skills on AI engineering job descriptions. They're what inferLearn is built to teach.
Three things worth verifying before handing over your email.
Everything on the route has been shipped in public — repos, evals, and the parts that broke. We don't teach what we haven't built.
Phase 2 covers what tutorials stop before: evaluation, observability, fine-tuning, serving, reliability. These are the skills on AI engineering job descriptions.
Deployed systems you can inspect yourself — run the app, read the eval harness code, check the commits. No claimed outcomes; only verifiable ones.
The map is free. The route is exact. The email is the only ask.
The map is free. The route is exact.
2,140 engineers already on the route