Not LLM theory. Practical crypto trading bots that EARN MONEY: Crypto News Agent (auto-trading), Freelance Hunter (Upwork auto-bid), Code Assistant (local pair-programmer). 10 modules, 3 capstone projects, drip access. $199 founder pricing for the first 50.
What's the pain point? Crypto-bots do what junior employees used to do: write customer responses, parse leads, trade on news, find freelance jobs. 100 times cheaper and they don't take vacations. In a year, being without them will be like a business without a website today — possible, but competitors will get ahead.
Why this course specifically? 99% of AI courses are just summaries of OpenAI docs. Here, you get 3 capstone projects that actually earn money: Crypto News (trades on sentiment signals), Freelance Hunter (auto-bid on Upwork), Code Assistant (your personal pair-programmer). Each one is production-ready code, not a toy demo.
Why is the window closing? Right now, there are still 1000 available niches for practical crypto-bots on the market. In a year, there will be 100. APIs have gotten cheaper, tools are accessible. Whoever gets in now will ride the wave for 5-7 years.
This is no longer an option — it's the basic literacy of the new decade.
18 lessons (M1-M6) of 1500-2500 words each. Working code, real examples from production. This is the foundation — enough to build a hello-world bot today.
3 capstone projects. Each one earns money or saves time. No toy demos.
Monitors Twitter / Reddit / news. Sentiment-score. Opens positions via Binance API with stop-loss. A real autonomous trading agent.
Parses Upwork / Fiverr, scores leads based on ICP. Generates personalized proposals. Submits automatically. A job hunter that doesn't sleep.
Local-first dev pair-programmer. No cloud, no leak. Works on your machine, runs your tests, suggests fixes. No monthly subscription.
10 modules, 2-3 hours each. Self-paced + weekly Q&A sessions in Discord.
Python + LangChain setup, prompt engineering, tools, memory. Building your first toy agent — then turning it into a production-ready one.
Async execution, error handling, monitoring, rate limits, cost optimization. Not lab code, but ready for deployment.
You build all 3 projects end-to-end. Crypto News Agent with Binance API, Freelance Hunter with Upwork integration, local Code Assistant.
Founder pricing for the first 50 students. No upsells, no subscriptions, no hidden costs.
10 modules · drip access · 3 capstone projects (full code) · Discord · 4 Q&A · lifetime access
Basic Python (loops, functions, dictionaries) is required. If you can read some Python code, you'll manage. Module 1 quickly reviews the basics.
Yes. The course is not about Python — it's about **agent patterns**: tool use, memory, async orchestration, production gotchas. The LangChain level is mid-to-advanced.
OpenAI GPT-4 + Claude + open-source (Llama via Ollama). The course is not tied to a single provider.
Crypto News Agent with GPT-4: $5-30/month (depends on your trade volume). Local Code Assistant: $0 (Ollama). Freelance Hunter: $10-50/month.
Patterns don't become obsolete. APIs change — switching providers takes about an hour of edits (tested on Llama → GPT-4 → Claude).
The course is released in a drip format: a new module becomes available every 5-7 days as you complete the previous ones. 10 modules = ~10 weeks for the full cycle. This gives you time to deeply work through each module instead of binging the lessons (text + code) and forgetting them. The capstone projects are done in the final 2-3 weeks.
A refund is possible within 3 days of purchase and only if you have not opened the second module. If you have opened it, a refund is not possible (drip access: you have already completed the first block and moved on). Refunds are processed through the Whop dashboard.
One click — instant access to the course. Founder pricing of $199 is locked in forever. refund: 3 days · before opening the 2nd module.
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🟢 Live proof — our bots in production