Practical, project-based courses for people who want to build with AI — not just read about it. Every course ends with something real in your hands: a working automation, a published channel, a shipped feature.
4.9 / 5 from 90,000+ students worldwide
Each one is a complete system — not a tour of features. Pick the outcome you want and work backwards from it.
Every instructor here ships with these tools for a living. The curriculum reflects what actually works in production, not what demos well.
You build from the first module. No 40-minute theory preamble before you touch anything real.
AI moves fast. Courses are revised monthly and you keep lifetime access to every update.
Private community plus monthly live office hours with instructors. Get unstuck the same day.
Prompt libraries, workflow files, scripts and checklists — all downloadable and yours forever.
Tightly edited lessons that average nine minutes. We cut everything that does not move you forward.
Work through it. If it does not deliver, email us inside 30 days for a full refund. No forms.
Start with what you want to exist at the end — an automated pipeline, a monetised channel, a production agent. Take our two-minute path quiz if you are unsure.
Every module includes a build step you complete in your own tools, with the project files and templates supplied. Watch, then do.
Finish with something live. Bring it to office hours for feedback and keep refining it with the community as the tools evolve.
I went in wanting to stop writing the same reports every Monday. By module four I had a GPT doing the whole thing from raw exports. It saves me most of a day every week, and I have not touched the manual version since.
The context engineering module alone changed how our whole team works. We rewrote our CLAUDE.md files that week and the quality difference in generated PRs was immediate and obvious. Our review time dropped noticeably.
Third channel attempt, first one that worked. The niche scorecard stopped me picking something unprofitable again, and the batch workflow means I publish five a week around a full-time job. Monetised in month four.
I had built RAG demos that fell apart the moment real users touched them. The retrieval and evaluation modules were exactly the missing piece. Our support agent is live and I can actually prove it is not regressing.
As a designer I was sceptical. What sold me was the art direction vocabulary — learning to describe lighting and composition properly turned it from a slot machine into a tool I control. Client work now, not experiments.
We automated lead enrichment, support triage and the weekly board report in about six weeks. I costed it out afterwards — it replaced roughly a part-time role, and I built all of it myself with no engineering background.
I have spent the last decade building software and the last three years building almost exclusively with AI in the loop. NeuraLearn exists because most AI education is either surface-level tips or academic theory, with nothing in between for people who actually need to ship. Every course here is the one I wanted when I started — opinionated, practical, and honest about what these tools cannot do.
For ChatGPT Mastery, Prompt Engineering Pro, AI Design Studio, the YouTube Blueprint and Business Automation — no. They assume nothing beyond general computer literacy. Claude Code and AI Agents & Automation do assume you write code and are comfortable in a terminal; each course page states its prerequisites clearly at the top.
Forever. One payment, lifetime access, including every future update to that course. Given how quickly these tools change, that matters more here than in most subjects — courses are revised monthly and you get all revisions at no extra cost.
Email us within 30 days and we refund you in full. No forms, no interrogation, no requirement to prove you watched a certain percentage. We would rather you spend the money somewhere more useful than feel stuck with something that is not working.
Most lessons work on free tiers, but a few require paid access — Advanced Data Analysis and custom GPTs need ChatGPT Plus, and the Claude Code course needs a Claude subscription or API credits. Each course lists its expected tool costs before you buy so there are no surprises.
Most students finish a course in four to six weeks at three to five hours a week. Lessons average nine minutes so you can make genuine progress in short sessions, and everything is downloadable if you prefer to work offline.
If you want three or more courses, yes — the bundle costs less than three bought separately and includes everything we publish in the next twelve months. If you only want one specific outcome, buy that course. We would rather you buy the right thing than the bigger thing.
Yes. Team plans start at five seats and include shared progress tracking, private onboarding sessions and invoicing. Get in touch through the contact page with your team size and we will send options within a day.
Join 90,000+ students building real things. One payment, lifetime access, and a 30-day guarantee if it is not for you.
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