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What do you want to learn?

Choose one path for today. Everything is free, no account is required, and you can switch paths whenever you want.

Everything on this site

Everything you can learn here, free

Every course, language, problem set and guide on SkillAIVibe, grouped so you can see the whole site at once. 13 languages execute real code in your browser. Nothing is locked and no account is needed.

Learn to code

18 languages · 130 exercises

Write, run and fix real code in your browser — nothing to install, and nothing you write leaves your device.

Pick a language →

Career & interviews

10 interview topics · 8 roadmaps

What to learn for a role, in order, and the kinds of questions you will actually be asked.

Choose a roadmap →

This list is generated from the site’s own navigation and content, so new courses, languages and problem sets appear here the day they are published. Dated additions are recorded on What’s New.

60-second path finder

Choose the result you want

This is a simple local guide, not an AI recommendation. Your choice stays in this browser and no sign-up is required.

Recommended starting point

Start with a tiny Python program

You will edit working code, run it in your browser and fix one small task. No installation or account is needed.

Best first session: 10–15 minutes

Start beginner Python →

Coding learning path

Pick a language and start writing code

13 languages execute real code inside your own browser, and HTML and CSS render as you type — nothing to install, and nothing you write leaves your device. 13 of them have a free step-by-step exercise path, 130 exercises in total, each one checked as you run it.

Not running in the browser yet

These have a written guide instead — what the language is for, a first program, and how to run it on your own computer. Each guide says plainly that it does not run here.

AI learning path

A clear order for learning AI

If AI is your goal, follow these lessons in order and practice with the original examples.

Prefer a single overview first? Read the beginner AI roadmap, then use the plain-English neural network guide when you reach machine learning.

  1. Understand what AI actually is

    about 10 min of reading

    Start with AI Fundamentals. It explains how modern AI works in plain English — what a model is, how it learns, why it sometimes makes things up. Everything else on this site builds on these ideas.

    Start AI Fundamentals →
  2. Learn to write prompts that work

    about 8 min of reading

    Prompt Engineering for Real Work teaches the structure behind good prompts — why vague requests get vague answers, and how to iterate instead of settling for the first response. The Prompt Engineering hub collects the course, the guides, and the templates in one place.

    Start Prompt Engineering →
  3. Apply it to your actual work

    about 12 min of reading

    Using AI in Everyday Work covers the practical side — emails, summaries, research, meeting notes — plus the judgment calls: what to verify, and what never to paste into an AI tool.

    Start Using AI at Work →
  4. Understand AI agents before you use one

    about 18 min of reading

    Agentic AI explains what changes when AI can act rather than only answer — how tools and the plan-act-check loop work, where agents fail, and the guardrails worth having. Take it once you are comfortable writing prompts.

    Start Agentic AI →
  5. Practice with ready-made prompts

    ongoing

    The Prompt Library has original templates for writing, studying, job hunting, coding, and more — each with instructions and a real example. Copy one, fill in the blanks, and see the techniques from step 2 in action.

    Browse the Prompt Library →
  6. Pick your tools

    ongoing

    The AI Tools Directory explains what each well-known tool actually does, who it suits, and its pricing model — independent write-ups, not marketing copy. Start with one general assistant and add tools only when a real need shows up, and read the head-to-head comparisons when you are weighing two specific tools.

    Explore AI tools →
  7. Keep going

    ongoing

    The guides go deeper on single questions — how AI actually works, why it makes things up, how to fact-check it, and whether to trust an agent with real tasks. New lessons, tools, and articles are recorded with dates on the What's New page, so you can see what has been added since your last visit.

    Browse the guides →

Two habits worth keeping from day one

  • When you hit an unfamiliar term, look it up in the AI Glossary — every definition is one plain-English paragraph.
  • Before trusting an AI answer that matters, read How to Fact-Check AI Output — it's the one article we'd make required reading.