Iteration 1 preview
EU AI Act · Article 4 aligned

AI Literacy Essentials
Safe & Responsible AI Use at Work

A practical 4-hour live training for employees and self-employed professionals who use AI tools at work. Learn what to use AI for, what data to protect, how to check outputs — and when to escalate.

Representing a company? Book the whole team — see corporate options →

AI Literacy at Work
framework preview
(visual / photo placeholder)
500+
Individuals trained
4h
Live format
EN / DE / RU
Languages
97%
Completion satisfaction

Real figures from AgileLAB's existing training base. Corporate client logos are added in Iteration 2.

Why it matters

What AI literacy really means

"AI literacy means skills, knowledge and understanding that allow providers, deployers and affected persons […] to make an informed deployment of AI systems, as well as to gain awareness about the opportunities and risks of AI and possible harm it can cause."

— Regulation (EU) 2024/1689 (EU AI Act), Article 3(56)

AI tools like ChatGPT, Copilot, Gemini, Claude and DeepL are already part of everyday work. Article 4 of the EU AI Act turns this definition into an obligation for every organisation using AI. Article 26 adds a separate, firm requirement for staff operating high-risk AI systems — our current programmes cover Article 4; Article 26 is scoped individually on request.

Read the full Article 4 vs Article 26 breakdown →
Foundations

Five dimensions, not just a checklist

AI literacy is more than basic knowledge. Research on AI literacy in the workplace points to five dimensions this training is built around.

Understanding Reflection Behaviour Motivation / confidence Human–AI interaction
Who it's for

Built for real work, not IT teams

Suitable for non-technical participants — employees and self-employed professionals across functions, and anyone who uses AI tools on behalf of their own business.

OperationsAdminSales MarketingHRFinance Customer supportLegal ops IT coordinationManagement Freelancers & self-employed
What you'll learn — and how

AI Literacy at Work

Four daily habits, ten concrete skills, one structured 4-hour curriculum — not just definitions.

1

Scope the task

Is AI suitable here? Is the tool approved? Will the output be used internally, externally or in a sensitive context?

2

Avoid sensitive data

Protect personal, client, confidential and business-sensitive information before it ever reaches an AI tool.

3

Fact-check the output

Check for hallucinations, bias, outdated information and unsupported claims before using the result.

4

Escalate when risk is high

Involve a manager, legal, security or data protection contact when the task or data is sensitive.

After this training, you will be able to

Explain what AI, generative AI and large language models are in plain language.
Recognise where AI already appears in your everyday work tools and workflows.
Identify which tasks are suitable — and unsuitable — for AI support.
Use prompts more clearly, effectively and responsibly.
Protect confidential, personal, client and business-sensitive information.
Recognise hallucinations, bias, outdated information and overreliance.
Check AI-generated outputs before using them in professional work.
Recognise AI-enabled cyber security risks such as phishing, deepfakes and social engineering.
Know when human review, manager review or escalation is needed.
Describe the basic purpose of AI literacy documentation under the EU AI Act.

Full session-by-session programme

Session 1 — Understand & use AI safely (3 topics)
  • 01AI is already at work — where AI appears in daily tools, assistance vs. automation vs. decision support, approved and non-approved tools
  • 02How generative AI works, simply — LLMs, prompts, context, outputs, and why AI can sound confident while being wrong
  • 03Safe use rules — personal data, client data, confidential information, credentials, source code, copyright and approved tool rules
Session 2 — Check, protect & act responsibly (5 topics)
  • 04AI risks in real work — hallucinations, bias, outdated information, missing context, false confidence, automation bias
  • 05AI & cyber security — AI-generated phishing, deepfakes, fake invoices, fake HR requests, social engineering
  • 06Prompting for responsible work — task, context, constraints, audience, format, checking before use
  • 07Human review & accountability — when review is required, who owns the decision, when to escalate
  • 08Knowledge check & Certificate — scenario-based questions, personal SAFE-use checklist, Certificate of Completion

Structure and module order taken directly from Option 1 (Programme Structure, section 5 of the proposal). Numbering unified across site, PDF proposal, trainer slides and contract.

Formats

Start here — grow when you need to

Option 1 · Available now

Live Public Session — Standard Programme

4 hours, two live sessions. Regular open cohorts for individuals and self-employed professionals. Everyone gets the same foundation.

€95 incl. VAT per participant
See upcoming dates →
Option 2 · For companies

Book training for your whole team

Delivered privately for your organisation — not a public session. Two formats: Standard (4h, same content as the Live Public Session) or Extended (1 day, 9 modules, tailored to your tools and policies).

Price on request — depends on format and number of participants
See corporate options →
Upcoming dates

Next Live Public Sessions

New cohorts open regularly — pick a date that works, no waiting for a "next round" announcement.

14 Aug 2026 · Online · English
09:00–13:00 CET
6 seats left
Reserve your seat →
28 Aug 2026 · Onsite, Munich · German
09:00–13:00 CET
Open
Reserve your seat →
11 Sep 2026 · Online · English
14:00–18:00 CET
Open
Reserve your seat →
25 Sep 2026 · Online · German
09:00–13:00 CET
Open
Reserve your seat →
9 Oct 2026 · Online · Russian
09:00–13:00 CET
Open
Reserve your seat →
No date that fits? New cohorts are added monthly. Join the waitlist →
Practical, not theoretical

Exercises you'll actually do

AI use map

Identify where AI already shows up in your own work.

Data safety sort

Classify examples as safe, restricted or escalation-required.

Hallucination review

Spot unsupported claims and missing evidence in an AI answer.

Prompt rewrite

Turn a vague prompt into a clear, checkable instruction.

Cyber incident drill

Assess a suspicious AI-generated message and choose an escalation path.

Use / do-not-use tree

Decide when AI is appropriate — and when a human must decide instead.

Assessment & proof

Knowledge check, certificate & evidence pack

Knowledge check

No exam stress, no trick questions. A short, practical check built around real workplace scenarios — designed so you finish confident, not anxious.

~15 min · 3 workplace cases · most pass comfortably on the first try.

Certificate of Completion

"AI Literacy Essentials: Safe and Responsible AI Use at Work" (4 training hours, Option 1).

  • Course name & option
  • Training hours
  • Completion date
  • Topics covered

Evidence pack

Included from Option 1 — not just for large companies.

  • Syllabus
  • Attendance record
  • Knowledge-check summary
  • Certificate template
  • Tailoring note, if applicable

This is an AgileLAB Certificate of Completion — not an official EU or government certificate. Useful on your CV, for clients, or your company's internal compliance file either way. Why there's no official Article 4 certificate →

Your trainer

Learn from someone who does this daily

Trainer name — role & real experience

Certified AI-Native Trainer, Scaled Agile Inc. · ICP-FAI (Foundations of Artificial Intelligence) certified trainer, ICAgile. Experience delivering Agile, OKR and AI-adoption training across DACH.

Not ready to book yet? Take something useful with you

Two free downloads straight from the programme — no commitment, just your email.

Why this, not a generic webinar

Documented, not disposable

Generic AI awareness training

  • One-off session, no structure
  • No regulatory grounding
  • Generic completion badge
  • No exercises tied to your role

AI Literacy Essentials

  • Fixed syllabus, documented hours & topics
  • Grounded in Article 4 sources & EU Commission guidance
  • Real trainer credentials disclosed honestly
  • Scenario exercises + knowledge check
Want to go further?

AI-Native Foundations by AgileLAB

AI-NATIVE
2026

For organisations moving from AI literacy to AI-native agility

An official Scaled Agile Inc. certification on building organisations that leverage AI at scale — delivered in person, launch partners KEGON & Fast Lane.

This is a separate AgileLAB programme about Agile + AI transformation.

Does not cover EU AI Act Article 4 / 26 requirements and does not replace AI Literacy Essentials.
Explore AI-Native →
FAQ

Before you sign up

Is this an official EU or government certificate?

No. It's an AgileLAB Certificate of Completion. The European Commission confirms that no official Article 4 certificate exists or is required — organisations may keep internal training records instead.

Do I need a technical background?

No. The course is built for non-technical participants and assumes no prior AI or programming knowledge.

What's the difference between Article 4 and Article 26?

Article 4 is general AI literacy. Article 26 is a separate, firm requirement for staff operating high-risk AI systems to ensure human oversight. Our Option 1 and Option 2 programmes cover Article 4; Article 26 needs deep customisation, so we scope it individually. Read the full breakdown →

Which languages is this available in?

English, German or Russian, live online or in person.

Join the next Live Public Session

4 hours, live online or in person. Individuals and self-employed professionals welcome.

See all upcoming dates →
€95 incl. VAT per seat
Representing a company? See corporate options → — delivered privately for your team, Standard (4h) or Extended (1 day).