WAITLIST OPEN · For everyone

I want to master Claude Code.

LEARN. BUILD. DELIVER results to your organization.

DANGEROUSLY>_ generates your education path. You follow it. You leave with both: a working system in production — and a certificate for your HR folder.

// Your Education. Your outcome-based Learning. Your Product.

→ Join the waitlist See how it works

◆ Anthropic Partnership

◆ Google AI Stack

◆ Waitlist open for everyone

◆ EU Hosting · GDPR compliant

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The Problem

Hundreds of tools. Dozens of vendors. Which fits best?

01
Learn by experience and shipping. We learn AI with you, step by step. We teach, you build. At the end: something real — working in your own system, in your hands. Not slides. Something that does the job.
02
Your fear of missing out. New models drop monthly. New tools weekly. Every static course is already historical the day it ships — and your competitors won't wait while your team catches up.
03
Prototypes are cheap. Production is brutal. Writing a prompt wrapper takes an hour. Architecting agentic workflows that survive edge cases takes engineering.
04
Tech alone doesn't ship products. Five engineers, five bash sessions, twenty-five git worktrees. Coordination is where AI-native teams actually break. We teach the workflow layer.

Other platforms ask: What do you want to learn?
We ask: What do you want to build?

We don't sell education. We sell deployment velocity. The difference is structural.

// DANGEROUSLY>_ Positioning Statement

// vendors we cover

What we do differently

We don't replace tools. We teach you which to choose and how to combine them.

Outcome-First Learning

Tell us what you want to build. We show you the way. You leave with both: a working artifact that's live on Monday — and a certificate for your org.

→ Browse example paths

Real-World Tool-Coupling

No sandbox. Your machine. Your tools. Your code. Every lesson drives real actions on your real system — you install, deploy, write the prompt.

→ See the lesson format

Frontier Stream

On every model release — Claude 5, Gemini 4, new tools — a skill-drop appears. 3–5 lessons, 15 minutes, immediately usable. Our platform lives. Archives are for others.

→ Understand the stream mechanic

Enterprise Tier

Scrum for AI-native Teams

Five engineers. Five bash sessions. Twenty-five git worktrees. Zero merge-conflicts. Agile orchestration for multi-agent development — team-velocity metrics, merge-discipline at scale, Scrum rituals adapted for AI-assisted engineering. The premium layer. No Udemy course comes close.

→ See Enterprise pricing

How it works

Three steps. One artifact.

Set your goal

State your goal

"I want to build an Email Agent." Pick an archetype or type freely. We know the pattern.

Follow the path

Watch → Build → Verify → Reflect. Each lesson: under 15 minutes. On your machine, with real tools.

Artifact

Ship your artifact

At the end, something runs. Email Agent deployed. RAG system live. Landing page converting. Not slides. Code.

Concept Clusters

9 clusters. All combinable. No curriculum lock-in.

Browse by cluster, tool, vendor, or frontier release. Or start directly with a path.

Foundation: Prompting & Thinking

Structured Prompting, Chain-of-Thought, Multi-turn Design

Model Literacy

Claude vs. Gemini vs. GPT — vendor-neutral, with an opinion

Patterns & Architectures

RAG, Agents, LLM-as-Judge, Tool-Use cross-provider

Engineering Fundamentals

Streaming, Caching, Batch APIs, Observability, Versioning

Infrastructure & Deployment

Self-Hosting, Vector DBs, Hetzner + Coolify, Rate Limiting

Productization

UX Patterns, Safety, Prompt Injection, Guardrails

Meta / Architecture Thinking

Buy vs. Build vs. Self-Host, Hype Filter, ADRs for AI

Legal, Compliance & Data Governance

GDPR, EU AI Act, US Provider DPA, Data Residency

Specification & Verification

Evals, LLM-as-Judge, Mutation Testing, Agentic Specs

Example Paths

Concrete outcomes. Real artifacts.

Every path combines lessons from multiple clusters into one thing that runs at the end.

AUTONOMOUS AGENT

Autonomous Email Agent

Artifact: Working email-sorting agent running on your own server

Foundation → Tool-Use Prompting Patterns → Agent (Plan-Act-Reflect) Engineering → Structured Output Compliance → Email + GDPR Infra → Hetzner + Coolify Deploy

5h 7 Lessons

RAG SYSTEM

RAG over your own data

Artifact: Deployed RAG system with vector database and retrieval pipeline

Patterns → RAG (basic → hybrid) Engineering → Chunking + Reranking Infra → pgvector / Qdrant Model Literacy → Long-Context Gemini

6h 9 Lessons

AI MARKETING

AI-Powered Landing Page

Artifact: Live landing page with AI-generated copy + hero visual

Foundation → Copywriting with Claude Tool → Nano Banana Pro Hero Images Model Literacy → Claude vs. Gemini for copy Productization → A/B-test AI content

4h 6 Lessons

Lesson Format

Guided Building. 6 phases. Under 15 minutes.

Every lesson follows the same structure. Watch → Build → Verify → Extend → Reflect → Artifact. You leave with something.

① WATCH

Context

30–60s. Why this matters. Text + illustration. No binge-video.

② BUILD

Real-World Action

Concrete instruction. On your machine. With your tools. You type. You deploy.

③ VERIFY

Self-Report

"Come back when you're done." Checkbox → Next. We trust you.

④ EXTEND

Go deeper

Optional next build step. Same mechanic, more depth.

⑤ REFLECT

Trainer Debrief

AI agent delivers personalized brief feedback. Senior-level, direct, no cartoon.

⑥ ARTIFACT

✓ You built it

"You built X." Path progress +1. Portfolio grows.

Frontier Stream

Content that moves with the field.

Claude 5 is coming. Gemini 4 is coming. Your skills go stale every 90 days. Our content doesn't. We ship a drop on every release.

→
3–5 lessons per model release 10–20 minutes total. Immediately usable. Push notification when it goes live.
→
FOMO mechanic "40% of your skills are outdated" — every drop re-activates dormant users.
→
Subscription value grows Archives go stale. Our content becomes more valuable the longer you're a member.

// FRONTIER STREAM — RECENT DROPS

2026-04-21 Claude Sonnet 4.6 Release NEW
2026-04-15 Gemini 3.1 Flash Lite Preview
2026-04-10 Claude Agent SDK — Skills Update
2026-03-28 Google ADK 1.0 — 5 new lessons
2026-03-14 Nano Banana Pro Image Gen
2026-02-28 Gemini 3 Pro — Long-Context Drop

→ Next drop: Claude 5 release (expected Q2 2026)

Pricing

Simple. No freemium. No BS.

€1,800 per seat per year. Less than a week of consulting. Worth more than 1,000 Udemy hours.

Early Access

Waitlist

€0

// join now · be first in line

✓ Early access before public launch
✓ Frontier Stream preview drops
✓ Direct line to the founding team
✓ No gatekeeping — everyone in
·Full platform access — after launch
·Team seats — later rollout

→ Join the waitlist

RECOMMENDED

Annual Seat

dangerously-trainer

€1,800

// per seat · per year · B2B

✓ Full access to all 9 clusters
✓ All paths + custom path generator
✓ Frontier Stream — all drops
✓ Trainer agent + personalized feedback
✓ Cross-vendor tool profiles
✓ EU hosting, GDPR-compliant processing
✓ Team seat options from 5 seats

→ Join the waitlist

Feature	Udemy / Coursera	DIY / Self-Taught	dangerously-trainer
Cross-vendor coverage	~ Instructor-dependent	~ As wide as your tabs	✓ Anthropic + Google + Tools, with opinion
Real-world execution	✗ Video archives	~ You're on your own	✓ Your machine, real tools
Outcome-first	✗ Course-based	✗ No path	✓ What do you want to BUILD?
Rolling updates	✗ Goes stale fast	~ If you keep up yourself	✓ Frontier Stream on every release
Compliance cluster	~ Individual courses	✗ Hope for the best	✓ GDPR + EU AI Act + Data Residency
Price	✓ €20–200/course	✓ Time only	€1,800/seat/year

For context: One consultant day costs €1,500–3,000 — and builds nothing at your end. dangerously-trainer gives you 365 days of curated engineering know-how, frontier updates, and an AI trainer. €1,800 per seat per year. Less than a week of consulting. Worth more than 1,000 Udemy hours.

The artifact belongs to your organization. Your employee returns to their desk with a working system. You break even on the second deployment. This isn't a training budget line item — it's a delivery investment.

FAQ

Objections. Answered directly.

We complement vendor courses, we don't replace them. Anthropic Academy is excellent for going deep on Claude — we recommend it. Vendor docs and Udemy give you the depth in one tool. What we add: the cross-vendor view, real-world deployment on your own infrastructure, and the outcome-first framing — *"what do you want to build?"* — that vendor-courses don't aim for. Use both. They stack.

One consultant day costs €1,500–3,000 and builds nothing at your end. dangerously-trainer gives you 365 days of access, all frontier drops included, and an AI trainer that delivers senior-level feedback. The price is not a mistake — we're not a B2C product. Cheap products don't train founders.

You're in. That's it. When we open the doors, we email you — along with Frontier Stream preview drops and direct updates from the founding team. No gatekeeping. No drip sequence. No bait-and-switch. When we launch, you're first in line at €1,800/year. You know the price upfront.

Founders and product managers without a dev background: yes, with caveats. The Engineering and Infrastructure clusters require basic terminal knowledge. Foundation, Model Literacy, Meta, and Compliance are accessible without a dev background. If you're the CEO and want to understand what your team builds — perfect. If you want to deploy yourself without dev experience — harder.

Yes — and a working artifact. Most platforms give you one credential with a completion badge. We ship both: a system running in your production AND a certificate for HR. Corporate-Procurement needs the PDF. Your team needs the system. You get both — because the real differentiator isn't whether you have paper, it's whether your artifact runs.

Platform hosted on Hetzner Germany. No data outside the EU. Data Processing Agreements (DPA) in place with all US API providers (Claude, Gemini). We teach GDPR-compliant AI use — and hold ourselves to the same standard. Full privacy policy in the footer.