The Bridge
The LLM mental model, model APIs, async & streaming, cost and token thinking. No "Python from scratch" — you already code.
Everyone is teaching you about AI. inferLearn takes backend engineers across the line into shipping real, production AI systems — and brings back the proof. Not a course. An expedition with receipts.
You learned the old ground well. The fear isn't that you're not good — it's that the map you trained on is being redrawn.
Backend and full-stack engineers, three to seven years in, watching the ground shift. The honest move isn't to panic or to chase hype. It's to walk the new terrain with someone who has already been ahead and plotted a route you can actually follow.
A backend engineer gets a fast first win at base camp, then earns depth toward production. Every station ends with something shipped, deployed, and on your map.
The LLM mental model, model APIs, async & streaming, cost and token thinking. No "Python from scratch" — you already code.
RAG done properly, agents & tool-calling, structured outputs, guardrails, and a first real deployment.
Evaluation & observability, fine-tuning tradeoffs, serving & latency, reliability and failure modes — the moat the tutorials skip.
One production-grade AI system — deployed, monitored, documented. The centerpiece of a portfolio that is pure receipt.
We never teach what we haven't built. Each system below was shipped in the open — the wins and the parts that broke. Tap any card to open the repo, the live deploy, and the eval. Receipts, not badges.
Chunking strategy bake-off, hybrid retrieval, a re-ranker that cut hallucinations on the eval set. Live and answering.
Planning loop, tool-calling, retries and fallbacks. We log where it failed and what we did about it — openly.
Traces, regression checks, scorecards. The single biggest differentiator from a free tutorial — and the hardest to fake.
The owned channel. Build notes, what broke, and the route ahead — written from inside the work, sent to your inbox. Algorithm-proof.
The best free route to becoming an Applied AI Engineer — plus a weekly field report from the build.
2,140 engineers on the expedition · no hype · unsubscribe anytime
We guarantee the learning, not the job. Here's exactly what that means — in writing.
Fifteen to twenty-five founding members. Live sessions, real project reviews, and a portfolio of deployed systems. Introductory pricing — it rises with every cohort's proof.