In just 4 hours, we teach you to use AI where it matters most: mindset, productivity, trust, and security. Learn without extra steps. It is just you, your goals, and the AI that helps you reach them.
The AI Ready program is:
For anyone who is new to artificial intelligence,
For individuals with some experience with AI but who use it only at a basic level,
For those who feel overwhelmed bycomplex terms and the rapid pace of AI development,
And for anyone who wants to understand the importance of AI and its practical benefits at work.
You don't need technical knowledge. You don't need a programming background. Just an open mind and the will to learn.
In four hours, you gain confidence, knowledge, and tools to use AI where it saves the most time today — on tasks, communication, and information retrieval.
Context awareness (why is AIimportant at all?),
Practical tools (what can AI do for me?),
Decision compass (when to use AI and when not?),
The human component (what remains in our hands?),
Security (how to use AI responsibly?)
Format: 60% theory/40% practice
Duration:4 school periods
Lecturer: 1 expert covering all areas
You understand what artificial intelligence is and why it is important to you,
You know how to use AI tools for writing, analysing, and summarising,
You know how to separate usefulopportunities from unnecessary hype,
You become a confident AI user — and that's after the first day
The basic message: It's not about hype. It's about survival
AI is evolving faster than most can keep up — new tools, new functionalities, new risks every week. Most people use it by instinct, without understanding what is happening in the background. In this series, we break down myths, explain the latest trends (including what OpenAI, Google and others are really developing),and show why AI is not the future but the present — affecting work, roles and your prospects in the company.
They understand what AI is — and what it isn't
Participants learn about the latestAI trends, tools, and activities of major companies.
What do terms like: generative AI,automation, predictive analytics mean...
Participants can distinguish betweenvaluable AI applications and exaggerated claims.
Critical thinking about technology
Recognizing the potential of AI in your own industry
Basic work with AI tools (e.g. ChatGPT, Gemini, Copilot, Claude, Pi, etc.)
The basic message: Create more — in less time
AI can save a lot, but most users are left with experiments or “playing with questions.” In this set, we show how we can extract more from AI tools (e.g., ChatGPT, Gemini, Claude): better instructions, faster content preparation, clearer summaries ,and visualisations. The focus is on the tasks everyone on the team does weekly— and they can be accelerated or improved by doing the right thing.
·They know how to write effective prompts for different types of tasks,
Participants use AI for summaries, content creation, analysis, and recommendations,
They increase the speed of preparation of records, reports, ideas, and presentations,
They understand where AI helps — and where it is better for them to draw their own conclusions.
Use of AI tools for business communication
Preparation of drafts in minutes
Understanding where AI can really help you — and where it can't
The basic message: Do not make decisions on a whim. Make smarter decisions.
Every week in companies, we waste hours on repetitive tasks, information retrieval, content compilation and analysis. In this set, participants bring their concrete challenges (reports, analyses, summaries, customer responses), and together we find solutions using AI. We work on cases that the participants actually perform.
They learn to break down tasks into components that AI can assist with and those they handle themselves,
They use AI to monitor trends, competition, and the market,
They use AI to prepare answers, analyses, spreadsheets, and summaries.
Practical application of “smart research” tools
Interpretation of AI outputs (what they mean and where to use them)
Preparing short reports with the help of AI
The basic message: AI will not replace you. Or you can be replaced by someone who knows how to work with him.
The biggest obstacle to AI deployment is not tools, but fear. People are afraid of losing control, meaning and work. This set shows how, as a team, decision-makers or colleagues, we develop trust, motivation, and mutual understanding — rather than resistance. Participants understand that AI is not a threat, but an opportunity for growth.
Participants explore the question:Will AI replace me, and what can I do to adapt?,
Participants understand how AI isaltering job roles and how to proactively adapt to these changes,
Participants learn ways to foster a culture of learning and adaptation within their teams,
Participants assess which personal strengths are most valuable in an AI-driven environment.
Developing an “AI-ready” mindset,
Recognising your advantages over technology,
Self-assessment: What skills do you still lack?
The basic message:If you know how to use AI, you also need to know how to think.
AI is not only efficient, but also responsible. Misinformation, bias, or sharing sensitive information without understanding the consequences can damage the company. In this set, participants are given practical frameworks for using AI safely, ethically and intelligently — without excessive bureaucracy.
Participants learn what fair, transparent, and responsible AI use entails in the workplace,
Participants recognise which information is safe to share with AI tools, and which is not,
The basics of GDPR and copyright in the use of AI.
Identifying bias in AI Responses
Critical use of generated content
Ability to set basic safety limits
Custom program is for everyone who:
have already tried basic AI tools and want to take a step forward,
have a concrete business challenge that they want to solve using AI,
want in-depth knowledge in one or more of the selected areas,
no longer need explanations of “what is AI”, but want an effective implementation.
It is suitable for individuals, teams or departments who want to develop their own AI solutions, workflows or strategies — not in theory, but in a real environment. It doesn't matter if you are in marketing, HR, sales, operations or in a management position. The program adapts to your role, industry and goals.
The Custom program helps you select one or more key areas and work through them in depth — focusing on 90% of the practical work.
Through the program:
identify the challenge you want to solve with AI,
Build your own AI workflow, content system, analytics tool, or internal rule
test, improve and implement in practice.
It's not about learning by heart, but about building your own AI system that will come in handy right away.
Formato:90% practice/ 10% context
Duration:flexible (from 1 intensive day to a 3-week process)
Lecturer: Experts in the field — selected according to your needs
You can solve specific business challenges using advanced AI tools.
You create your own AI workflows or systems that increase productivity and quality.
You build strategies or automations that deliver measurable results in your team or company.
You become a change leader who knows how to integrate AI into everyday business decisions and processes.
Able to guide others in the use of AI and lay the foundations for long-term innovation.
The basic message:You no longer think about whether you need AI. You think about where to put it first.
How to build your own AI roadmap: steps, prioritization, connection to business goals.
How to identify areas with the greatest AI potential within your team or company.
Analysis of domestic and foreign practices: how similar companies are introducing AI.
Preparation of an “AI pitch” — an internal proposal for an AI initiative, understandable even to non-technical decision-makers.
By agreement with the client
Development of a basic AI deployment plan (roadmap + benefits + risks).
Using AI tools to explore opportunities (Perplexity, ChatGPT, Notion AI).
Prepare a short AI presentation for your team or management (in the form of a document or pitch slides).
The basic message:From draft to publication — with one system you build yourself.
How to design your own prompt system for frequently repeated tasks (e-mails, PRs, advertisements...).
Generating visuals with AI: choosing the right tool (Midjourney, Firefly, Runway).
Automation of the creative process: combining AI tools with Zapier, Make, Notion or Google Apps.
AI pipeline layout: input information → prompt → output → testing → improvement.
By agreement with the client
The composition of the prompt library used by your team (in Notion, Google Doc, Miro...).
Creation of draft content that is ready for further design or publication.
Setting up simple automation with a no-code interface (eg “write a response to e-mail + save in CRM”).
The basic message:AI is no longer just an external consultant. It becomes part of your decision making.
Data analysis with AI tools (ChatGPT + tabular data, Power BI, Google Looker Studio).
Using AI to make recommendations (e.g. product strategy, positioning, segmentation).
Scenario thinking: “What if?” AI-assisted analysis (e.g. market decline, demand growth).
Assessing the risk, effectiveness and ROI of AI projects.
By agreement with the client
Ability to prepare a report or recommendation based on AI analyzes.
Design of a basic AI dashboard to track key indicators (e.g. sentiment analysis, sales forecasts).
Strategy composition based on a combination of data, intuition and AI insights.
The basic message:AI only succeeds where people feel they are cooperating — not losing control.
Planning an internal literacy program: how to get started with “AI onboarding” for employees.
Preparation of materials (instructions, internal libraries, Q&A, examples) that bring AI closer to teams without fear.
Introducing new tools: how to communicate, how to guide deployment, how to measure success.
Conversation simulations: how to respond to concerns, concerns and resistance in the team.
By agreement with the client
Design of a draft internal “AI onboarding kit” (instructions+expectations+Q&A).
Communication campaign plan for the introduction of a new tool in the organization.
Preparation of facilitated discussions about AI in the team (leadership, moderation, AI assistance in preparation).
The basic message:Maturity in the use of AI means that you can also say no.
Assessing the security of AI tools (trust, data sensitivity, bias).
Formulation of internal rules (e.g. what data is allowed for AI, which tasks do not fall within the hands of AI).
Preparation of the “AI Use Policy”: an understandable, concrete policy for collaborators.
Discussion of current cases: violations, abuses, misuse of AI in organizations.
By agreement with the client
Creation of an “AI risk checklist” for own use or for the assessment of suppliers.
Compilation of draft internal rules and recommendations (in accordance with GDPR + common sense).
Critical evaluation of AI results from the perspective of accountability and transparency.