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AI TRAINING · SALZBURG · IN-HOUSE & ONLINE

Understand AI. Use it responsibly. Make work easier.

Practical training for teams that want to move beyond experimentation and integrate generative AI into daily work in a productive, transparent and responsible way.

Modular formatFrom a focused impulse session to a two-day intensive
Up to 15 peopleA closed group with room for your own questions
DocumentedMaterials and confirmation of attendance included

Clients include the Salzburg Administration Academy (SVAK) of the State of Salzburg and Salzburg municipalities.

FORMATS & PRICING

Clear packages. Enough room for your context.

The briefing, module selection and light adaptation of existing examples are already included. Additional research and custom use cases are priced transparently.

AI impulse

A focused introduction for teams and decision-makers.

  • up to 2 hours
  • foundations and context
  • live demos and Q&A
Fixed price€790VAT-exempt · up to 15 people

Half-day workshop

A practical introduction using first real tasks.

  • up to 4 hours
  • prompting and quality
  • exercises and attendance confirmation
Fixed price€1,290VAT-exempt · up to 15 people
Most popular

Full-day workshop

The complete foundation course with sufficient practice.

  • up to 8 hours
  • law, privacy and the AI Act
  • exercises and attendance confirmation
Fixed price€1,990VAT-exempt · up to 15 people

Two-day intensive

Deeper practice with workflows and concrete use cases.

  • up to 16 hours
  • extended hands-on sessions
  • personal action plan
Fixed price€3,490VAT-exempt · up to 15 people
Industry package · +€390Up to three hours of targeted adaptation to your field and audience.
Custom use cases · +€790Up to six hours of preparation with tasks from your organisation.
New topic · €125/hourResearch effort estimated and capped in writing before work begins.

All prices are indicative for closed groups. No Austrian VAT is charged under the small-business exemption in Section 6(1)(27) UStG 1994. Venue, exceptional travel expenses and accommodation are not included. A binding quote follows a short briefing.

MODULAR CURRICULUM

Content that fits your audience and daily work.

Not every group needs every slide. The maintained training system creates a suitable flow instead of forcing a rigid standard presentation.

01

Foundations & orientation

What generative AI is, how language models work and where their limits are.

02

Prompting & workflows

Write clear instructions, iterate results and develop reusable processes.

03

Research & quality

Verify sources, recognise hallucinations and use AI as a thinking partner rather than an oracle.

04

Media & creativity

Use text, images, audio and video purposefully – including transparent disclosure.

05

Law, privacy & the AI Act

Data traffic light, copyright, transparency and appropriate AI literacy.

06

Strategy & implementation

Prioritise use cases, set rules and plan realistic next steps.

ARTICLE 4 EU AI ACT

Build AI literacy and make it traceable.

Providers and deployers of AI systems must take measures that support the development of AI literacy for people operating or using AI systems on their behalf. The training combines technical understanding, practical application, risks and context of use – without turning the day into a legal compliance lecture.

Learning goals and agendaContent and purpose of the training are documented in a traceable format.
Context-based practiceExercises reflect the tools, roles and risks relevant to the audience.
Attendance confirmationParticipation is documented using a consistent radi.solutions record.
Transparent use of AIGenerative tools used and the human review process are disclosed.

The training supports measures to develop and document AI literacy under Article 4 of the EU AI Act. It is not legal advice, certification or a guarantee of complete compliance; organisational and legal implementation remains the responsibility of each organisation. Official information from the European Commission

HOW IT WORKS

From briefing to a training day that fits.

A lean process keeps preparation efficient while creating room for relevant examples.

  1. 01

    Briefing

    Clarify audience, prior knowledge, tools, goals and sensitive topics.

  2. 02

    Configuration

    Select modules, align the time budget and prepare examples.

  3. 03

    Training

    Clear input, live demos, exercises and honest discussion.

  4. 04

    Documentation

    Materials, attendance confirmation and an optional review session.

FREQUENTLY ASKED QUESTIONS

What often matters before booking.

The key answers in a compact format. Everything else can be clarified in a short conversation.

Do participants need prior knowledge?

No. The foundation course starts at an accessible level and adapts to existing knowledge. Advanced formats assume a shared basic understanding.

Which AI tools are used?

The selection depends on the audience and the organisation’s approved tools. Typical examples include ChatGPT, Microsoft Copilot, Gemini, Claude and specialised image, audio and research tools.

What documentation do participants receive?

Every participant receives a personalised confirmation of attendance stating the date, duration and topics covered. It supports the documentation of AI literacy measures under Article 4 of the EU AI Act. The AI Act does not require a specific certificate; organisational implementation remains the responsibility of each organisation.

Can we include our own tasks?

Yes. Existing industry examples or custom use cases can be prepared as a clearly priced add-on. Confidential data is never entered into public AI services without prior review.

Is online training available?

Yes. Impulse, half-day and full-day formats can be delivered online or in person. In-person delivery is often stronger for extended practical formats.

What AI literacy does your team actually need?

A short initial call clarifies the audience, format and desired level of customisation. You then receive a transparent fixed-price quote.

Request a call

Transparency notice: The concept and copy for this page were supported by generative AI and professionally, didactically and editorially reviewed and approved by Radomir Dinic.

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