Hubstack Academy

✦ Start free · no coding background needed

AI agents — for everyone.
And for your own tasks

Understand how AI really works, learn vibe coding and build your own agent that takes the routine off your hands — at work and beyond. The path starts with a free course and ends with a working agent for your task.

Start for freeSee the program

Companies and universities — team access →

●

For specialists

Learn vibe coding at your own pace and build an agent for your routine: reports, emails, requests, inbox triage. Be the one who automates — not the one who gets automated.

◆

For companies

Leadership wants AI agents and automation? Give your team access — in 6–8 weeks you have working agents built by your own people.

✦

For universities

A ready-made, hands-on course for a semester: students graduate with their own AI agent in the portfolio — not a term paper.

Free · no access code

AI Basics: from zero

Ten lessons for people who have not yet used AI seriously: what it actually is, which tool to pick, how to brief it and set its rules, how to check the result, data safety and responsibility. Nothing to install — about 6 hours. Currently in Russian.

Start for free

Program

All three steps open after a free sign-up: AI basics, then vibe-coding foundations, then the capstone — your own AI agent.

Track 1 · Starter8 lessons

Vibe Coding: Foundations

From zero to your first working product. How to brief an AI, build tools for your own job, and ship them — no programming experience required.

  1. 01What Is Vibe Coding
  2. 02Tools & Setup
  3. 03How to Brief an AI
  4. 04First Project in an Hour
  5. 05Iterating & Debugging Without Reading Code
  6. 06Data & Automation
  7. 07Deploy: Show the World
  8. 08Safety & Limits

Outcome: Your own working mini-product, deployed to the web

Peek at lesson 1 (in Russian) →
Track 2 · Advanced9 lessons

Build Your Own AI Agent

Capstone track: from scenario selection to a working agent built on OpenClaw with the Ark standard — prompt architecture, knowledge, channels, testing, rollout.

  1. 01Anatomy of an AI Agent
  2. 02Choosing the Scenario
  3. 03Prompt Architecture
  4. 04Agent Tools & Knowledge
  5. 05Building the Agent on OpenClaw
  6. 06Connecting Channels
  7. 07Testing & Red Teaming
  8. 08Rollout & Metrics
  9. 09Capstone: Defend Your Agent

Outcome: A working agent on OpenClaw (Ark standard) + project defense

Peek at lesson 1 (in Russian) →

Lesson content and the platform interface are currently in Russian — the working language of our cohorts. English-language cohorts are available on request for corporate clients.

Open standard · MIT

The Ark agent standard

The package, templates and recovery are free forever and open source. Everything paid — support and services for teams — lives a layer above; we call that layer Ark+, and the standard itself will never be closed. Graduates of the agent track build on it; try it right now:

npm install -g @armannetwork/ark

Install OpenClaw first — one command from openclaw.ai (it installs Node.js too). Then ark init my-agent and ark connect my-agent, and your agent runs on the Ark standard; the agent track teaches the rest.

How to onboard a team

Individuals need nothing: every track opens right after a free sign-up. The request is for companies and universities — invite codes, team progress reports, support.

01

Request

Write to us — we agree on the format and the number of seats.

02

Access codes

You receive activation codes and hand them out to employees or students.

03

Learning

The team moves through the tracks at their own pace; you see everyone's progress.