Elements of AI: the honest guide for SME owners who want to learn AI

If you’ve landed here looking for information about Elements of AI, you’re probably in one of two situations: either you want to finally understand what artificial intelligence is without being hit with a full-blown math lecture, or you run a small business and suspect AI could save you time, but you don’t know where to start.

Good news: the course exists, it’s real, it’s free, and it’s good. Bad news: it’s not exactly what you need if what you want is to apply AI in your business tomorrow. In this article, I’ll tell you what it really is, what you’ll get out of it, and — most importantly — what to do next.

What Elements of AI actually is

Elements of AI is a series of free online courses created by MinnaLearn and the University of Helsinki, designed so that as many people as possible can learn what AI is, what can (and can’t) be done with it, and how to start building AI methods.

The project was born from a very Nordic and very sensible idea: in spring 2018, MinnaLearn and the University of Helsinki joined forces with the goal of helping people feel empowered, not threatened, by artificial intelligence.

The results speak for themselves. More than 2 million students have enrolled in the course, with graduates from over 170 countries. And one figure I find especially relevant: around 40% of participants are women, more than double the average in computer science courses.

The two courses: which one is right for you

A lot of people don’t realize there are actually two different courses, and choosing the right one saves you hours of frustration.

Course	For whom	Requirements
Introduction to AI	Anyone who’s curious, including business owners	None
Building AI	Anyone who wants to understand the algorithms under the hood	Basic Python recommended

The first one, An Introduction to AI, is a free online course for anyone interested in learning what AI is, what is and isn’t possible with it, and how it affects our lives — with no complicated math or programming.

The second one, Building AI, is for people who want to learn the actual algorithms behind AI methods. Basic Python knowledge is recommended to get the most out of it.

Honest recommendation: if you’re an SME owner, operations director, or founder, do only the first one. The second is for technical profiles.

How much time it will take

This is the question nobody answers clearly. The course structure is as follows:

It consists of six chapters divided into three sections, each with exercises.

And the real time commitment: each part of the course will take 5 to 10 hours. Some exercises require a lot of thought, drawing on paper, and reviewing the theory, so you may need up to 45 minutes. There are also many external links to consult.

All in, expect between 30 and 50 hours if you do it properly. The courses combine theory with practical exercises and can be completed at your own pace.

One detail that catches many people off guard: there are no videos. The material in each chapter is three pages, but they’re long pages packed with detailed information. If you were expecting a YouTube-style course with a teacher talking to you, this isn’t that format.

Is there a certificate? Yes, and it’s official

By completing the course, you can earn a LinkedIn certificate. People in Finland can also obtain 2 ECTS credits through the Open University.

For Spain, what matters is this: among the program partners are UNED and the State Secretariat for Digitalization and Artificial Intelligence (SEDIA). In other words, it’s not a throwaway certificate — it has serious institutional backing.

What you’ll learn — and what you won’t

The content covers the classic six chapters: what AI is, problem solving, AI in the real world, machine learning, neural networks, and ethical and social implications.

What you do get:

Understanding what terms like machine learning, neural network, and algorithm actually mean, without sounding like gibberish.
Knowing how to tell the difference between what AI can do today and what is just marketing.
Vocabulary for having serious conversations with tech vendors without being sold fluff.
An ethical foundation for making decisions about privacy, bias, and responsible use.

What you don’t get:

How to build a chatbot for your website.
How to automate your inbox.
How to connect ChatGPT to your CRM.
Practical use cases for your specific business.

And this is important to say clearly: the course is literacy, not implementation. It’s like taking a basic mechanics course — useful so you don’t buy a car with a blown engine, but it doesn’t make you a mechanic.

The perspective you won’t find in other articles

After years implementing AI for SMEs, I can tell you what really happens when someone finishes Elements of AI thinking they’ll apply it in their business:

Week 1 after the course: “Okay, now I get what this is about. I’m going to try ChatGPT for writing emails.”

Month 1: “Right, ChatGPT is fine, but copy-pasting is a pain. There has to be a better way.”

Month 3: “I’ve seen tools like n8n, Zapier, Make... but every time I try to build something serious, it breaks or takes weeks.”

Month 6: “I need someone who knows how to do this properly and maintain it.”

This path is normal, and there’s nothing wrong with it. But if your goal is to save time in your business, not learn AI as a hobby, there’s a much shorter route.

The shortcut: from learning to results

Elements of AI gives you the language. What you need after that is to translate that language into concrete processes in your company. The areas where AI delivers measurable results in an SME are always the same:

After-hours customer service: a voice agent that answers calls at 10 p.m. and schedules meetings for the next morning.
Email management: an inbox that prioritizes itself, replies to the obvious stuff, and routes the important messages to the right human.
Lead qualification: enriching every contact with public data and deciding which ones deserve a call before your salesperson wastes three hours.
Repetitive internal processes: sales proposals, reports, app-to-app syncing.

At Studio SmartWork, this is exactly what we do: we take the specific problem and deliver a working solution in under 7 days. We don’t sell tools; we design and run the solution. While you’re doing Elements of AI at night, we can have the first version of your voice agent or lead qualifier running before you finish chapter 3.

So, is the course worth it?

Yes, with some nuance. I recommend it if:

You want to stop feeling lost when someone talks about AI in a meeting.
You’re going to make tech investment decisions and want to avoid buying hype.
Your team needs a shared knowledge base before adopting new tools.
You enjoy learning and have 30–50 hours spread over a few weeks.

I don’t recommend it if:

What you need is to solve a concrete operational problem right now.
You expect ready-made templates you can apply in your business tomorrow.
You get frustrated by a 100% text-based format with no videos.

How to get started

The course is available in Spanish at course.elementsofai.com/es/. You register, choose a language, and start with chapter 1. There are no dates, no live classes, no pressure.

My advice: do it alongside a real project. While you study the machine learning chapter, identify a process in your company where it could apply. While reading about AI ethics, audit what customer data you’re handling. Knowledge without application fades within two months.

And if at any point along the way you think, “This is great, but what I really want is for someone to build the solution and take care of it” — well, that’s what we’re here for.