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Compare our plans, or use the pricing tool below to see your yearly price.

  • Most Popular

    Standard

    Organizations with long-term AI adoption goals (minimum 50 seats)

    • Up to 3 Admins on MinnaLearn Platform
    • Customized with your policy
    • Continuous updates to content and platform
    • Standard SaaS agreement

    Pricing Based on Seats

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  • Built for Scale

    Enterprise

    Large-scale deployment for enterprise requirements

    • Up to 10 Admins on MinnaLearn Platform
    • Implementation support, dedicated account manager
    • SCORM / LMS integration
    • Enterprise-ready (DPA, NDA, Custom MSA)

Just for you? Get AI Ready individual license: self-paced AI literacy training with a certificate.

Use the custom pricing tool to explore tiers

Number of employees

Use the slider to explore tiers or enter an exact employee count below. Plans start at minimum 50 seats.

1-50 Users1000+ → Enterprise

Exact Employee Count

Enter a number for a precise price (minimum 50 seats).

Languages

1 language is included in the base price.
Add additional languages for 1,500€ per language per year.

Total per year:

FAQ

Questions teams ask before rolling out

View the product
  • The short answer: It’s the foundational layer between “here’s our AI policy” and “here’s how to use Copilot.”

    Here’s the problem most organizations face: Everyone agrees “we need AI training,” but nobody can define what that actually means. The result?

    • Policy documents say “use AI responsibly” but don’t teach employees how to do that
    • Tool training (Copilot, ChatGPT) assumes people already understand AI – most don’t
    • Generic courses cover either too much (machine learning math) or too little (basic prompting tips)
  • Here’s what should be in that foundation:

    1. Core AI Understanding

    • What is an LLM and how does it work? (practical understanding, not CS degree level)
    • What AI can do well – and what it fundamentally cannot do
    • How to write effective prompts and why it matters

    2. Risk Awareness

    • Hallucinations: why AI makes things up with confidence
    • Bias: where it comes from and how to recognize it
    • Privacy: what data never goes into AI tools
    • IP and copyright: what’s safe to use

    3. Responsible Use

    • When to use AI – and when NOT to
    • How to verify outputs before trusting them
    • Your company’s specific AI policies (not just a separate PDF)

    4. Practical Confidence

    • Role-relevant examples tied to real work
    • Hands-on exercises (not just reading)
    • Safe experimentation practices

    This curriculum isn’t guesswork. Get AI Ready is built on:

    • 2.1M+ learners through Elements of AI – we know what works at scale
    • EU AI Act Article 4 – regulatory baseline for “sufficient literacy”
    • University of Helsinki and industry expert validation – pedagogically sound

    Bottom line: We’ve already figured out what AI literacy means in practice. You get a proven, validated curriculum – not a blank canvas.

  • AI is changing too fast for “buy it once” training to work. Consider:

    • New models launch every few months (Copilot, GPT, Claude, Gemini updates, etc.)
    • New risks emerge constantly
    • New regulations are coming (AI Act enforcement starting)

    A one-time purchase would be outdated in 3-6 months – you’d need to buy again anyway.

    Subscription ensures your training evolves with the field, automatically. You pay for ongoing value, not just a snapshot.

  • No – it complements it. Think of it this way:

    • Get AI Ready = Driver’s Ed (how cars work, rules of the road, safe driving)
    • Vendor training = Car-specific features (this is where the windshield wipers are in a Honda)

    Employees who complete Get AI Ready arrive at vendor training already understanding AI fundamentals – so they get more value from the tool-specific training. They use features confidently, not blindly.

Get AI Ready

Get steady, measurable AI adoption across the whole organization

Bring every employee to a confident, measurable AI baseline
and prove it worked.

“Safety status” table listing employees as completed or in progress