We don't run courses ourselves. Instead we hand-pick useful external courses and learning resources for each level — from a calm first introduction to deep technical depth. Every link below is free, starts free, or can be audited for free, and we check that it is still relevant today.
29 results
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University of Helsinki · MinnaLearnUniversity of Helsinki
The most trusted free AI introduction in Europe — built by the University of Helsinki, taken by over a million people, and available in English and 20+ other languages (including Estonian). No code, no math anxiety, and a certificate at the end. If you want the calm, credible version of 'what is AI actually', this is it.
Coursera · DeepLearning.AIAndrew Ng
Years after launch, still the cleanest starting point for anyone who needs to understand AI without learning to code. No math, no jargon, no hype — you'll finish able to have an informed conversation about AI projects.
Coursera · GoogleThe most pragmatic, workplace-flavoured first course. Where Andrew Ng's "AI for Everyone" gives you the mental model, Google's course shows you what to actually do tomorrow morning — speeding up everyday tasks, drafting, brainstorming. Zero coding, five short modules including a vital chapter on responsible use.
Coursera · Google CloudGoogle Cloud
Google's own answer to 'what is generative AI, actually' — the non-technical counterpart to Elements of AI, aimed explicitly at sales, HR, marketing, and operations roles rather than engineers. Forty-five minutes to a real mental model of how generative AI differs from classic machine learning, with no code and no jargon.
Coursera · Google CloudThe Google Workspace mirror image of our Copilot gap: a fast, official, no-cost path to using Gemini inside Gmail, Docs, Sheets, Slides, Meet, and Drive. Thirty minutes is honest about the scope — this is an orientation, not mastery — which is exactly right for someone who just got Gemini turned on in their inbox and wants to know where to start.
Microsoft LearnMicrosoft Learn
The single highest-intent query we don't answer: 'how do I actually use Copilot at work.' This is Microsoft's own free learning path, walking through real Copilot workflows in Word, Excel, PowerPoint, Teams, and Outlook rather than abstract AI theory — exactly the on-ramp an office worker with a Microsoft 365 subscription needs.
Coursera · DeepLearning.AIAndrew Ng
Real time inside an LLM, learning to prompt deliberately and recognise where generative AI is genuinely useful versus where it's a trap. Calm, no-hype teaching — the perfect bridge from "I've tried ChatGPT once" to "I use it every day with confidence."
Coursera · Vanderbilt UniversityDr. Jules White
The clearest path from "I use ChatGPT in a tab" to "my AI handles my inbox while I sleep." Three-course specialization built around Zapier — no Python required. By the end you'll have agents that summarise emails, update spreadsheets, and trigger workflows when conditions are met.
HubSpot AcademyBrenna Zenaty, Adriti Gulati
Closes our biggest vertical blind spot: nothing in the catalog spoke directly to support and customer-success teams. HubSpot Academy is free, well-produced, and refreshingly concrete — it walks through AI-assisted ticket triage and a knowledge-base agent rather than staying abstract, and the certificate is free too, not a paywall bait-and-switch.
HubSpot AcademyCrystal King and HubSpot Academy
The marketing vertical gap, filled by a genuinely free, well-instructed course rather than a paywalled Udemy clone. It's honest about limitations and ethics (a full lesson on bias, transparency, and IP) instead of just cheerleading AI content generation, which matches our editorial standard better than most 'AI for marketers' filler out there.
HubSpot AcademyRobert Flemister
Sales is the other vertical we had nothing for. This is short by design — two lessons, 36 minutes — and stays concrete: lead scoring, AI-drafted outreach at scale, and deal-risk signals, rather than a vague promise that 'AI will transform your pipeline.' A quick, credible entry point for individual reps, not just sales-ops leadership.
Coursera · Vanderbilt UniversityDr. Jules White
The academic complement to DeepLearning.AI's short course — same discipline, longer arc, written for people who don't code. Dr. White teaches prompting as a set of reusable patterns (Ask for Input, Outline Expansion, Fact Check List, Menu Actions) rather than tricks. After this you'll prompt LLMs like a designer, not a guesser.
Coursera · University of California, DavisUC Davis Continuing and Professional Education faculty
Fills the writing/productivity vertical with something better than a prompt-pack listicle: a university course that treats AI-assisted writing as a craft — audience, purpose, and tone come before the prompt, and a full module is devoted to intellectual-property and ethics questions that most 'write faster with ChatGPT' courses skip entirely.
DeepLearning.AIIsa Fulford · Andrew Ng
Ninety minutes to a year's worth of intuition. If you've started writing code that calls an LLM — or you're about to — this is the most efficient course online for closing the gap between "playing with ChatGPT" and "shipping a feature that calls an LLM."
Anthropic AcademyAnthropic Academy
MCP is the protocol that's quietly replacing one-off tool integrations across the AI tooling ecosystem. Learn it from the source. By the end you'll have built and deployed your own MCP server, connected an LLM client to it, and understood why this standard is the closest thing the field has to USB-C.
DeepLearning.AI · LlamaIndexJerry Liu
Naive RAG (vector search → stuff into prompt) is the version that ships first and disappoints fastest. This short course shows you the upgrade: an agent that plans retrieval, picks tools, compares sources, and answers multi-document questions. Two hours, immediately applicable to a real product.
DeepLearning.AIJoão Moura (Founder, CrewAI)
Doubles as our sales and customer-support vertical pick and a genuinely practical agent-building course: you build an agentic sales pipeline (lead scoring, personalized outreach) and a customer-support data-insights pipeline as two of the five hands-on projects, taught by CrewAI's own founder. Requires basic Python, so it sits with our other builder-track courses rather than the no-code picks.
Hugging FaceHugging Face
The clearest open-source treatment of agentic systems available. Anchored in the three frameworks engineers actually evaluate (smolagents, LlamaIndex, LangGraph) rather than one vendor's stack. Concludes with a benchmark assignment and public leaderboard — accountability your team can verify.
DeepLearning.AI · LangChainHarrison Chase
The context-window-amnesia problem is what makes most agents feel forgetful and dumb on day two. This course teaches the LangMem patterns that fix it — episodic, procedural, and semantic memory — so an agent remembers user preferences and past interactions across sessions without bloating the prompt.
Microsoft LearnMicrosoft Learn
Prompt engineering, but for the tool most office workers will actually touch first. Microsoft's own four-part prompting framework (goal, context, source, expectation) is a genuinely useful mental model, and unlike the generic ChatGPT prompting courses already in our catalog, this one is grounded entirely in Microsoft 365 Copilot's specific quirks and grounding behavior.
Salesforce TrailheadSalesforce Trailhead
The no-code agent-building course our intermediate tier was missing — every existing intermediate pick (LangChain, LlamaIndex, LangGraph, Hugging Face) assumes you can write Python. This one has you configure a real customer-service agent by describing what you want in plain language inside Agentforce Builder, no code required, on Salesforce's own free Trailhead platform.
Coursera · DeepLearning.AI + AWSAntje Barth · Shelbee Eigenbrode · Mike Chambers · Chris Fregly
When practitioners ask "what should I take if I'm serious about building with LLMs?", this is the answer. Mathematically honest without being a research paper; AWS-flavoured deployment chapters stay useful even if you'll never touch SageMaker.
AWS Skill BuilderAWS Training and Certification
A cloud-vendor-specific complement to the Macquarie specialization: AWS's own Generative AI Security Scoping Matrix, OWASP Top 10 for LLMs, and MITRE ATLAS, walked through governance, legal, and compliance controls for five different AI deployment scopes — from consumer apps to self-trained models. Not GDPR-specific, but a genuinely practical advanced pick for teams whose AI workloads actually run on AWS and need concrete data-governance and compliance controls, not just theory.
Coursera · Emory UniversityEmory University Goizueta Business School faculty
The deeper, university-level counterpart to our beginner HubSpot marketing pick — Emory's business-school treatment goes past 'how to prompt' into training generative models for brand-specific output, the purchase-funnel economics of AI-generated content, and a full module of genuine skepticism about when generative AI is and isn't worth using in marketing.
Coursera · IBMIBM AI Academy
The genAI-era answer to the executive-strategy question. Three short courses aimed squarely at business leaders — no technical background required — on where generative AI creates value, how to govern it responsibly, and how to turn a vague "we should use AI" into a concrete, defensible use case. Rated 4.6 across ~700 reviews. Best taken before your next AI budget decision.
Coursera · Macquarie UniversityMacquarie University Cyber Security Hub faculty
The advanced, most explicitly on-target answer to our GDPR × AI gap: a three-course specialization from Macquarie University's Cyber Security Hub that goes from GDPR/CCPA fundamentals and privacy-by-design, through privacy impact assessments, to a dedicated third course on securing AI systems against adversarial attacks and model leakage. Genuinely bridges 'GDPR compliance' and 'AI security' rather than treating them as separate topics.
Microsoft (open-source, via GitHub Pages)Microsoft Copilot Studio team
The deeper, production-minded counterpart to our beginner no-code pick: a free, open-source, rank-based curriculum that takes you from zero Copilot Studio experience through MCP integrations and multi-agent orchestration, all without writing traditional code. It's the no-code answer to 'now I want to go further than a quick-start,' which our catalog didn't have.
EU Digital Skills & Jobs Platform · CyberSuiteCyberSuite
The rare AI Act course written for the companies the Act actually reaches: SMEs adopting AI, not the labs building it. Hosted on the European Commission's own skills platform, it pairs the legal side — roles, obligations, risk classification — with the security side (prompt injection, data leakage, supplier due diligence) that most compliance courses skip. For an Estonian SME deploying AI, this is the practical starting point.
Coursera · University of MichiganMerve Hickok
Few courses survey the regulatory landscape across the US, EU, and G7 in one place; this one does. Useful for compliance officers and product leaders trying to ship into multiple jurisdictions without inheriting hidden legal exposure. Pairs well with the Secure AI Adoption for SMEs course for the European-specific detail.
These links point to third-party learning providers and official resources. We have no commercial relationship with them — we recommend each one because it fills a clear learning need.
