Free AI Courses in 2026: A Vetted Shortlist
In short
- Genuinely free AI courses for beginners do exist, but you have to filter them: universities charge for the certificate, online schools often label a sales demo a "free course," and some programs unlock only the first few modules without payment.
- Options that hold up as of July 2026: HSE University and St Petersburg State University courses on Open Education (openedu.ru, Russia's national MOOC platform), "What Is Generative AI?" on Lektorium, Anthropic Academy with free certificates (English only), Yandex handbooks and the classic Stepik courses.
- Paid courses run from 4 900 ₽ for recorded lessons to 75 600 ₽ for a mentored cohort — the spread across the landing pages of the six programs in our comparison as of July 2026. Before paying, squeeze the free tier dry: it is often enough to tell you whether the field is for you at all.
- One gap stands out — vibe coding. Almost no free Russian-language course teaches how to build products with AI agents. That is the gap our free hub /learn/ fills, with three learning tracks.
This article is about programs you never have to pay for. If you are shopping for a paid course instead and comparing schools by price and format, go to our review of vibe coding courses in 2026. If you want a step-by-step self-start plan rather than a course, read vibe coding: where to begin. And if you are picking training for your team, start with the 4-week team training program.
I'm Anton Laskov, and I build qvib.pro — the site you're reading right now, assembled with vibe coding and Claude Code. I put this shortlist together the way I'd choose for myself: by reading the landing pages and the syllabi. There isn't a single affiliate link here.
Where's the catch with "free" AI courses?
While preparing our paid-course comparison I went through dozens of landing pages with the word "free" on them. The patterns repeat, and there are four of them:
- The certificate costs money. The Open Education model: studying is free, but a verified certificate costs money and requires proctoring (an exam under camera).
- Only the first modules are free. Some university courses publish two or three weeks of material openly and lock the rest behind payment. Look for wording about full access on the course page, not just "the recording is free."
- The "course" turns out to be a school's demo. At large online schools (Netologia, for one), free mini-courses on AI are the top of the sales funnel: decently made but short, ending in a pitch for the main program. There are exceptions — Hexlet's intro AI course is advertised as fully free — but check the terms of every program.
- Nobody reviews your work. Mass free courses have no feedback loop: quizzes are auto-graded, and code and projects are graded by no one.
None of this is a reason to skip free learning. It is a reason to read the terms before you enroll, not after.
University courses: Open Education and Lektorium
The most solid free theory as of July 2026 comes from universities.
Open Education (openedu.ru) is the national platform hosting courses from Russian universities. On the AI side it offers "Introduction to Artificial Intelligence" from HSE University, plus "Artificial Intelligence: Foundations" and "Machine Learning: Foundations" from St Petersburg State University — all three open for enrollment as of July 2026. The level is academic: video lectures, quizzes, semester pacing. Both catches above apply here: the certificate is paid, and some courses open only the first weeks for free. Terms vary from course to course.
Lektorium hosts two fully free courses: "What Is Generative AI?" — a popular-science explanation of neural networks, LLMs and the vocabulary, with no math — and "Applied Neural Networks" on practical use. It's the best Russian-language option in the "understand how this works" category if you have no intention of writing code.
Good fit for: people who want a systematic foundation and are willing to spend months on it. Bad fit for: people who need AI at work this week.
Vendor courses: Anthropic Academy and Yandex
Vendor courses are the most practical of the free options: companies teach you to work with their own tools and make money on the product, not on the training. So there are no paywalls and no sales team.
Anthropic Academy is the official school from the makers of Claude. In 2026 the courses live on a dedicated platform, and by July the catalog holds more than twenty programs: the AI Fluency track for non-technical roles, API and MCP courses for developers, and the Claude Code 101 + Claude Code in Action pair — the best official material on agentic coding that exists. Completion certificates are issued for free and can go straight onto your LinkedIn profile. Exactly one catch: everything is in English.
Yandex covers two different needs. The handbooks (education.yandex.ru) are open textbooks on Python and machine learning that people genuinely use to prep for interviews; that's self-paced reading, not a course with deadlines. And Yandex Praktikum runs free intro courses on AI for managers, marketers and other non-technical roles. Yes, it's the entrance to Praktikum's funnel, but as a standalone first step these work.
Stepik: free classics from the community
Stepik is an aggregator: both universities and individual authors publish there. On the free side, as of July 2026, the ones that hold up are "Neural Networks" (intermediate, theory plus practice, dozens of lessons and quizzes), "Introduction to Artificial Neural Networks" for beginners, and "Quick Start in Artificial Intelligence" — a four-week overview of the field: machine learning, neural networks, text processing.
The platform's strength is auto-graded exercises: you solve, the system answers instantly. Its weakness is the spread in quality — a strong course can sit right next to a repackaged pile of someone else's videos. Filter by enrollment numbers, reviews and last-update date; not every free course issues a certificate, so check the terms on the specific course page.
Which free course fits your goal?
Summary as of July 2026:
| Goal | What to take for free | Language | Main catch |
|---|---|---|---|
| Understand what AI and LLMs are | Lektorium "What Is Generative AI?"; HSE and SPbU courses on openedu.ru | RU | Universities charge for the certificate |
| Learn prompting for work | The "Prompt Engineering" track on qvib; Praktikum intro courses | RU | School courses are the entrance to a paid funnel |
| Vibe coding: build products with AI | The "Zero to First Product" track on qvib; Claude Code 101 at Anthropic Academy | RU / EN | Anthropic's material is all in English |
| Technical ML foundation | Yandex machine learning handbook; Stepik "Neural Networks" | RU | Math required; this isn't about prompting |
| Roll out AI across a team | The "AI for Teams and Business" track + the employee training program | RU | It will cost the manager time |
If your goal is the first row, start with Lektorium — that's two or three evenings. If it's the third, first read what vibe coding is to work out whether this way of working suits you.
What free courses won't give you
Three things the free format almost never delivers.
Current material on agents. Most free Russian-language courses cover "neural networks" at the chat level: write text, make a picture. The agentic approach — where the AI writes code, runs it and fixes its own errors — is absent from 2024–2025 curricula, and it is precisely what is changing work the most right now.
Practice on a real project. Quizzes and sandboxes are not the same thing as a product you built yourself. The skill shows up on your second or third project, not after watching videos.
Feedback. Mass free courses don't have it and won't — it's expensive. An AI agent partly substitutes for it: it explains its actions and errors if you frame the tasks well.
From here the road forks: pay for structure, deadlines and graded work (in our course comparison, mentored programs run 39 900 to 75 600 ₽ as of July 2026), or assemble your own route out of free material.
The free qvib track: vibe coding without a course
For people taking the second road, we built /learn/ — a free hub with three tracks: "Vibe Coding from Zero to First Product," "Prompt Engineering" and "AI for Teams and Business." It's not a recorded course and not a lead magnet: no payment, no email required. Inside are routes through a library of 80+ articles and an arsenal of 560 cards (count as of July 2026): ready-made prompts and roles you can copy straight into your work.
The tracks come out of practice: qvib.pro was built with the same method the material teaches, so there's no theory for theory's sake. On the honesty of the model: the entire library and all tracks are completely free; the only paid thing we sell is the Quest engine — 4 900 ₽ one-time, the price of the cheapest course in our comparison rather than a mentored cohort costing tens of thousands. You don't need the engine to work through the tracks.
FAQ
Can I get an AI certificate for free?
Yes. Anthropic Academy issues free completion certificates for its courses, and you can add them to LinkedIn. On Open Education the certificate is paid. Keep this in perspective: a completion certificate is not a professional certification, and to an employer two finished projects weigh more than any credential.
Are free courses enough to start from scratch and change careers?
To become a confident AI user, the combination of "university foundation + vendor courses + practice" is enough. For a career change, free material covers maybe seventy percent of the distance; the rest is your own projects and portfolio, which no course gives you — paid ones included.
Do I have to pay for the AI tools themselves while learning?
No. Free tiers are enough to start: which models are available without payment and under what limits, we keep current in our review of free AI tools in 2026.
Are free courses worse than paid ones?
On content, not necessarily: HSE lectures and Anthropic's material beat many paid programs. What you pay for is mostly structure, deadlines and graded work. If you can hold your own pace, the gap shrinks to almost nothing.