Whether you're learning AI for yourself or planning training for your team, choosing the right course can save a lot of time.
We've selected seven free AI courses—from beginner-friendly introductions to university programmes and practical business training.
For each one, we've summarised the format, language, time commitment, and who it's best suited for.
For each one, we've summarised the format, language, time commitment, and who it's best suited for.
A 12-month program by Riga TechGirls and Smartwork Academy that prepares participants for the role of an AI Implementation Specialist. It includes five months of AI training, followed by career consultations and support throughout the remainder of the program. The training was developed and is delivered by our team.
100 places each in Estonia and Latvia, completely free, no prior IT experience required.
The program covers everything from the fundamentals of generative AI to building practical AI solutions in real organisations. An introductory module brings everyone to the same starting point, while career support includes CV and LinkedIn coaching, employer sessions, and internship opportunities.
Applications close July 15, 2026
Course link: smartworkacademy.com/shecanai-estonia-latvia-2026
A course by the University of Helsinki, taken by more than 2 million people. No programming or math. The first part, Introduction to AI, is introductory (around 4–8 hours): what machine learning and neural networks are and where AI is actually applied.
The second, Building AI, is deeper and longer (around 50 hours) — for those who want to understand how AI solutions are built. You can go at your own pace; the authors recommend finishing within 6 weeks.
Course link: www.elementsofai.ee
Where external courses give a general and technical foundation, our series is about applying AI in specific business functions, with examples from Estonian companies.
Across eight recorded webinars, we cover the key areas: Microsoft Copilot, no-code automation, sales and marketing, finance, development, HR, risk management (AI Act and GDPR), and moving from pilot projects to full implementation.
Each session focuses on practical business applications and comes with additional materials.
Across eight recorded webinars, we cover the key areas: Microsoft Copilot, no-code automation, sales and marketing, finance, development, HR, risk management (AI Act and GDPR), and moving from pilot projects to full implementation.
Each session focuses on practical business applications and comes with additional materials.
Course link: www.youtube.com
A free platform from the ChatGPT team. All you need is a ChatGPT account.
Learning is organised by role — for small business, educators, the public sector, professionals — and moves from the basics to applied scenarios.
The starting path is three short courses: AI Foundations (AI basics, prompting, responsible use, around 60–75 minutes), Applied AI Foundations (turning one-off prompts into repeatable workflows, around 75–90 minutes), and Agents and Workflows (working with AI agents on structured tasks).
The starting path is three short courses: AI Foundations (AI basics, prompting, responsible use, around 60–75 minutes), Applied AI Foundations (turning one-off prompts into repeatable workflows, around 75–90 minutes), and Agents and Workflows (working with AI agents on structured tasks).
The courses are self-paced, with a certificate on completion.
Course link: academy.openai.com
The official platform from Anthropic, the makers of Claude, launched in March 2026. Registration requires only an email address. Courses are split into tracks: AI Fluency for non-technical users, product courses on Claude, and deep technical ones for developers.
A good place to start is Claude 101 (everyday use: emails, working with documents, data analysis, 1–2 hours) and AI Fluency: Frameworks & Foundations (how to think alongside AI, where its limits lie, and when human judgment can't be replaced, 1–2 hours).
For those who want to go deeper, there's a course on working with the Claude API — 8+ hours, 84 lectures.
For those who want to go deeper, there's a course on working with the Claude API — 8+ hours, 84 lectures.
Course link: anthropic.skilljar.com
Course materials are available for free in audit mode — you get full access to the lectures and exercises, and pay only for the certificate if you need one. The level ranges from introductory to seriously technical.
Course link: edx.org
Free modules on Copilot and AI fundamentals, with hands-on assignments. Especially convenient if your team already uses Microsoft 365 — the skills map straight onto familiar tools.
Course link: learn.microsoft.com
Where to start: a quick guide
There are a lot of courses, and it's easy to stall before you begin.
A few simple pointers:
A few simple pointers:
- If you're just getting to know the topic — start with Elements of AI. It gives you the full picture without a technical barrier.
- If you already use ChatGPT or Claude every day — take a look at OpenAI Academy or Anthropic Academy. A few short courses will help you work with the tool more confidently and systematically.
- If you're a leader thinking about implementation — what matters isn't the tools so much as understanding where AI creates value in your business. That's the angle our webinar series is built on, and the topic is explored in more depth in our articles on where to start with AI transformation and how to measure AI ROI.
- If you want to go deeper — the Claude API course, the Stanford courses on edX, and the second part of Elements of AI offer practice, theory, and certificates for your CV.
Learning creates value only when it's put into practice. If you'd like to figure out where to start with AI in your own company, book a 60-minute consultation — we'll look at your processes and show you where training and automation would make the biggest difference.