Individuals trained
500
Live format
4h
Languages
EN / DE / RU
Completion satisfaction
97%
Get the full details on this course. Download the PDF Brochure below:
What AI literacy really means
Why it matters
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)
- 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.
Five dimensions, not just a checklist
Foundations
AI literacy is more than basic knowledge. Research on AI literacy in the workplace points to five dimensions this training is built around:
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- Understanding
- Reflection
- Behaviour
- Motivation / confidence
- Human–AI interaction
Built for real work, not IT teams
Who it's for
Suitable for non-technical participants - employees and self-employed professionals across functions, and anyone who uses AI tools on behalf of their own business:
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- Operations
- Admin
- Sales
- Marketing
- HR
- Finance
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- Customer support
- Legal ops
- IT coordination
- Management
- Freelancers & self-employed
AI Literacy at Work
What you'll learn - and how
Four daily habits, ten concrete skills, one structured 4-hour curriculum - not just definitions.
- 1. Scope the taskIs AI suitable here? Is the tool approved? Will the output be used internally, externally or in a sensitive context?
- 2. Avoid sensitive dataProtect personal, client, confidential and business-sensitive information before it ever reaches an AI tool.
- 3. Fact-check the outputCheck for hallucinations, bias, outdated information and unsupported claims before using the result.
- 4. Escalate when risk is highInvolve a manager, legal, security or data protection contact when the task or data is sensitive.
After this training, you will be able to:
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- Explain what AI, generative AI and large language models are in plain language.
- Identify which tasks are suitable — and unsuitable — for AI support.
- Protect confidential, personal, client and business-sensitive information.
- Check AI-generated outputs before using them in professional work.
- Know when human review, manager review or escalation is needed.
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- Recognise where AI already appears in your everyday work tools and workflows.
- Use prompts more clearly, effectively and responsibly.
- Recognise hallucinations, bias, outdated information and overreliance.
- Recognise AI-enabled cyber security risks such as phishing, deepfakes and social engineering.
- Describe the basic purpose of AI literacy documentation under the EU AI Act.
- AI is already at work - where AI appears in daily tools, assistance vs. automation vs. decision support, approved and non-approved tools
- How generative AI works, simply - LLMs, prompts, context, outputs, and why AI can sound confident while being wrong
- Safe use rules - personal data, client data, confidential information, credentials, source code, copyright and approved tool rules
- AI risks in real work - hallucinations, bias, outdated information, missing context, false confidence, automation bias
- AI & cyber security - AI-generated phishing, deepfakes, fake invoices, fake HR requests, social engineering
- Prompting for responsible work - task, context, constraints, audience, format, checking before use
- Human review & accountability - when review is required, who owns the decision, when to escalate
- Knowledge check & Certificate - scenario-based questions, personal SAFE-use checklist, Certificate of Completion
- AI is already at work - where AI appears in daily tools, assistance vs. automation vs. decision support, approved and non-approved tools
- How generative AI works, simply - LLMs, prompts, context, outputs, and why AI can sound confident while being wrong
- Safe use rules - personal data, client data, confidential information, credentials, source code, copyright and approved tool rules
- AI risks in real work - hallucinations, bias, outdated information, missing context, false confidence, automation bias
- AI & cyber security - AI-generated phishing, deepfakes, fake invoices, fake HR requests, social engineering
- Prompting for responsible work - task, context, constraints, audience, format, checking before use
- Human review & accountability - when review is required, who owns the decision, when to escalate
- Knowledge check & Certificate - scenario-based questions, personal SAFE-use checklist, Certificate of Completion
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 + VAT per participant
€95 + VAT per participant
Book training for your whole team
Option 1 · Available now
Option 2 · For companies
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
Price on request
Next Live Public Sessions
Upcoming dates
New cohorts open regularly - pick a date that works, no waiting for a "next round" announcement.
*All prices are exclusive of VAT.
Next Live Public Sessions
Practical, not theoretical
- AI use mapIdentify where AI already shows up in your own work.
- Data safety sortClassify examples as safe, restricted or escalation-required.
- Hallucination reviewSpot unsupported claims and missing evidence in an AI answer.
- Prompt rewriteTurn a vague prompt into a clear, checkable instruction.
- Cyber incident drillAssess a suspicious AI-generated message and choose an escalation path.
- Use / do-not-use treeDecide when AI is appropriate — and when a human must decide instead.
Knowledge check, certificate & evidence pack
Assessment & proof
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.
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.
Evidence pack
Included from Option 1 — not just for large companies.
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
Certificate of Completion
"AI Literacy Essentials: Safe and Responsible AI Use at Work" (4 training hours, Option 1).
"AI Literacy Essentials: Safe and Responsible AI Use at Work" (4 training hours, Option 1).
- Course name & option
- Training hours
- Completion date
- Topics covered
Learn from someone who does this daily
Your trainers
- Irina TeterukAgile & OKR Coach, Consultant
Warsaw, Poland - Nastassia KrupiankovaManaging Director, Trainer, Agile Coach
Cologne, Germany - Vladimir GorshunovFounder, Trainer, Executive Agile Coach
London, United Kingdom
Documented, not disposable
Why this, not a generic webinar
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
AI-Native Foundations by AgileLAB
Want to go further?
For organisations moving from AI literacy to AI-native agility
An official Scaled Agile Inc. certification on building organisations that leverage AI at scale.
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.
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.
Before you sign up
FAQ
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.
No. The course is built for non-technical participants and assumes no prior AI or programming knowledge.
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 →
English, German or Russian, live online or in person.
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.
No. The course is built for non-technical participants and assumes no prior AI or programming knowledge.
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 →
English, German or Russian, live online or in person.
Are you interested?