Your $8.99/month
could become your full income.
19 courses · 380+ chapters · real code · real outcomes. The platform teaches you AI. What you do with it is up to you — teach on YouTube, freelance, ship products, or land a job.
Everything in one place — 19 courses + the Python Lab + 4,752 practice drills
Founder Lifetime is at its launch price of $149 (anchored at $599). After the launch window it goes up.
Try the first chapter of all 19 courses free. Pro unlocks everything — about $0.30/day, cancel anytime.
Free
See if this is for you. No card.
- →Read chapter 1 of any of the 19 courses
- →Save the AI Starter Kit (PDF) to your machine
- →Try the platform with no commitment
- ✓First chapter of all 19 courses (19 free chapters)
- ✓No credit card required
- ✓No time limit
Sign up in 30 seconds with Google or email
Pro
Full access while you stay subscribed — about $0.30/day. Cancel anytime.
- →Read every chapter of every course — no premium tier paywalls
- →Start a YouTube channel teaching local AI — 1K subs ≈ $50/mo, 10K ≈ $500-2K/mo
- →Build a portfolio that lands $120-250K AI engineering jobs (US; $40-150K EU/UK)
- →Replace ChatGPT Plus + Cursor + API costs with local AI — saves $40-200/mo
- →Ship your own AI side project — RAG chatbot, agent, fine-tuned model
- ✓Every course · every chapter · every project — nothing locked behind a higher tier
- ✓Full GitHub repos for the deployment + dataset-engineering courses
- ✓Per-chapter AI tutor — ask anything while you read, runs locally
- ✓Graded assessments + shareable certificates
- ✓Every new course as it ships (30 days after Lifetime members)
- ✓Cancel anytime — no contract, no retention call
$8.99/mo billed today · cancel anytime · or $79/yr ($0.22/day)
Lifetime
Pay once, own everything forever — no trial, no card games, no recurring bill. What most members choose.
- →Pay $149 once — about $0.41/day across year one, then $0/day forever
- →No trial, no monthly charge to forget — it’s yours the moment you buy
- →Get every new course 30 days before Pro subscribers do
- →Break even vs Pro yearly in 23 months — then free for life
- ✓Everything Pro has — for life, no monthly bill
- ✓⚡ 30-day early access to every new course (Pro waits)
- ✓Every future course included — no extra cost, ever
- ✓No renewals · no recurring fees · no expiry · no surprise bills
- ✓Priority email support, forever
- ✓Launch supporter badge — visible on your public profile
One-time · no trial, no recurring bill · yours forever
Local AI Master for Teams
Admin dashboard, consolidated billing, shared progress, and per-seat certificates for your whole engineering org. We'll put together your best price — contact us for a quote.
Pick your path. The platform gets you there.
These aren't hypotheticals. They're the four paths real students take after subscribing. Numbers below come from creator-economy data + AI job-market data — realistic, not best-case.
Path 1 — The AI YouTuber
Min tier: Pro
Subscribe → learn → teach what you learned on YouTube. Local AI is exploding; tutorials get watched.
- Month 1-3Take Pro courses. Pick a niche (Ollama setup, RAG tutorials, model comparisons).
- Month 4-6Post 2-3 videos/week. 1K subs unlocks AdSense — about $50/mo to start.
- Month 6-1210K subs typically earns $500-2,000/mo via ad revenue + sponsorships.
- Year 2+100K subs = $5-20K/mo. Some channels hit $50K+/mo with their own course sales on top.
Path 2 — The AI Engineer
Min tier: Pro
The portfolio you build from the Pro courses gets you interviews at AI-first companies.
- Month 1-2Build the projects: RAG chatbot, AI agent with tools, fine-tuned model on your data.
- Month 3Push to GitHub. Write 3-5 LinkedIn posts about what you built.
- Month 4-6Apply to 30-50 AI engineer roles. The vLLM, multi-GPU, and dataset-engineering projects are exactly what senior interviewers ask about.
- Outcome$120-250K US, $40-150K EU/UK, $20-80K Asia. Even +$30K bump pays for Lifetime 120× over.
Path 3 — The Local AI Freelancer
Min tier: Pro (real-code courses included)
Lawyers, doctors, accountants, small businesses want private AI. They pay $500-5,000 per setup. You set them up.
- Month 1-2Take the local-AI deployment + dataset engineering courses (real GitHub repos). Master the production stack.
- Month 3Build 1-2 demo setups (e.g., RAG over a law firm's documents — privacy-compliant).
- Month 4-6Pitch to 20-50 small businesses. Charge $1,500-5,000 per setup; $500-2,000/mo retainer for ongoing tweaks.
- Outcome2 clients/month at $2K avg = $4K/mo side income. Pro pays for itself in your first hour of work.
Path 4 — Ship Your Own AI Product
Min tier: Pro or Lifetime
The patterns + code in the deployment + dataset courses are exactly what indie AI products are built on. Most ship as Gumroad / Stripe / SaaS.
- Month 1-3Take the deployment + dataset courses (full GitHub repos). The production stack is in your hands.
- Month 4-5Pick a vertical (law, accounting, photography, real estate). Build a focused tool.
- Month 6+Launch on Gumroad / Product Hunt / direct sales. Even ONE indie product hitting $500/mo MRR pays for Lifetime in 1 month.
- Real exampleA solo dev built a private legal-doc analyzer using these patterns and now charges $99/mo to law firms. 30 customers = $3K/mo MRR.
What you'll be able to build
Concrete projects from across the 19 courses — these are the proof points on your portfolio
Private RAG Chatbot
Answer questions about your company docs without sending data to OpenAI. The exact stack lawyers and doctors hire freelancers to build.
AI Agent with Tool Use
ReAct + planning + memory. Books flights, writes code, runs tools. The interview question every senior AI role asks about.
Production-Grade vLLM Server
Multi-GPU, OpenAI-compatible API, proper KV-cache. Full GitHub repo. What companies pay $5K to set up.
Custom Dataset Pipeline
Collection → cleaning → dedup → eval. Full GitHub repo. The rare skill that makes models actually good.
Fine-Tuned Local Model
LoRA fine-tune Llama on your data, GGUF export, run in Ollama. Saves $1000s/year vs OpenAI fine-tuning.
Voice AI Agent
Realtime speech-to-LLM-to-speech. Sub-second latency. The thing that'll replace half of phone customer support.
19 courses · 380+ chapters · real code
Every course is structured curriculum, not random tutorials
Real outcomes from people who finished the work.
Names withheld at learner request. We don't use stock photos and we don't buy reviews.
“Started a YouTube channel teaching local AI setup after the RAG and Agents courses. Channel crossed 2K subs in a few months and ad revenue covers Pro every month — and then some.”
— Pro subscriber · backend developer
“Built the RAG chatbot and AI agent projects, pushed them to GitHub, wrote about them on LinkedIn. Landed an AI engineer role at an AI-first startup — exactly the stack they use in production.”
— Lifetime member · career switcher
“Used the local-AI deployment material to set up a private RAG system for a small law firm. They renewed for a second engagement and referred me to two more clients. The GitHub repos saved me weeks of integration work.”
— Lifetime member · freelance developer
Earnings ranges shown elsewhere on the platform are sourced from public creator-economy and AI job-market data (Glassdoor, Indeed, YouTube creator analytics) — what is achievable for someone who completes the courses and ships work.
Common questions (honest answers)
What's the realistic timeline from "I'm broke and curious" to "I'm earning from AI"?
What does $8.99/mo Pro actually include?
What's the difference between Pro and Lifetime then?
Why is Lifetime $149 instead of $599?
Lifetime $149 vs Pro yearly $79 — which is better?
Is this realistic? "Subscribe → become an AI YouTuber" feels like marketing fluff.
Do you have testimonials from people who actually did this?
What if I just want to learn AI for myself, not earn from it?
Pick your path. Start today.
The hard part isn't the platform. It's starting. Free account takes 30 seconds — no card required.