Why take this course
Artificial Intelligence is no longer just a topic discussed at technology conferences—it is becoming a practical tool that is transforming the way people work across every industry. The challenge is not access to AI tools, but knowing how to use them effectively and safely.
This course answers practical questions such as:
- Can AI help me in my daily work even if I am not a technical professional?
- How can I communicate with AI to get useful results instead of generic responses?
- Which tasks can be accelerated with AI, and which are better left to humans?
- How can I avoid overtrusting AI-generated outputs?
- What information can safely be shared with AI tools, and what should remain confidential?
What you’ll learn
After completing this course, participants will be able to:
- Explain what AI is and how language models work without relying on technical jargon.
- Create effective prompts—clear and precise instructions that generate useful results.
- Use AI to analyze and summarize documents, reports, and notes.
- Draft, edit, and improve business communications such as emails, proposals, summaries, and announcements.
- Generate working drafts of documents, meeting agendas, checklists, and action plans.
- Recognize AI limitations, including hallucinations, oversimplifications, and outdated information, and verify results effectively.
- Assess which information can be shared with AI tools and which requires protection.
- Build a personal AI working methodology tailored to individual responsibilities and tasks.
Certification & Exam
Participants receive a personalized certificate of course completion.
The course does not include a final exam. The emphasis is placed on the practical application of knowledge rather than formal certification
Who is this course for
This course is designed for professionals who work daily with documents, communication, and office-related tasks and want to understand how AI can support their work.
Typical participants include:
- Administrative professionals and public-sector employees working with documents, procedures, and correspondence.
- Managers and team leaders looking for ways to improve personal and team productivity.
- Sales professionals preparing proposals, emails, and meeting summaries.
- HR, marketing, and finance specialists working with large volumes of text and data.
- Anyone who feels left behind by the AI revolution and wants to catch up in a structured and stress-free way
Recommended prerequisites:
- No experience in IT, programming, or data analysis is required. The course is designed from the ground up for non-technical users.
- Basic computer and web browser proficiency.
- Basic English language skills, as many AI tool interfaces are available in English, although the workshop activities can be conducted in Polish.
Topics covered
Day 1: Understanding AI and Getting Started
Objective: Understand what AI is and how it works. Learn how to create effective prompts and practice the first practical use cases, including document analysis and business writing.
- What AI Is – and What It Is Not
AI fundamentals: language models, neural networks, and machine learning explained in simple terms.
AI strengths, weaknesses, myths, and realities.
Live demonstration: the same prompt across different AI tools producing different outcomes.
Exercise: participants test their first AI interactions and evaluate response quality.
- The Art of Prompting – How to Talk to AI
Anatomy of an effective prompt: role, context, format, and examples.
Iteration techniques for improving results step by step.
Common mistakes: Overly general questions, Missing context, Expecting perfect answers
Practical exercises ranging from simple to advanced prompting scenarios.
- AI for Document and Text Analysis
Summarizing lengthy documents, reports, and policies.
Extracting key information and decision points.
Comparing document versions and identifying differences.
Exercise: summarize a sample document and prepare a list of key findings using AI.
- AI for Business Writing
Writing and improving emails with the appropriate tone, length, and clarity.
Editing proposals, internal communications, and notes.
Adapting writing styles: Formal vs. informal, Shortened vs. expanded versions
Exercise: create and refine sample business emails with AI and compare the results.
Day 2: Advanced Applications, Limitations, and Personal Best Practices
Objective: Explore broader AI applications in daily work, understand limitations and risks, and create a personal AI adoption plan.
- AI for Work Organization
Creating action plans, checklists, and meeting agendas.
Generating document drafts such as procedures, instructions, and FAQs.
Organizing meeting notes and minutes.
Exercise: transform messy meeting notes into structured minutes, action items, and a follow-up agenda using AI.
- AI for Working with Data and Tables
Analyzing simple datasets, tables, and comparisons.
Generating summaries and conclusions from numerical data.
Creating report templates.
Exercise: prepare a summary and recommendations based on a sample sales, budget, or survey report.
- AI Limitations and Responsible Use
Understanding AI hallucinations, why they occur, and how to identify them.
Applying the principle: “Trust, but verify.”
Data protection guidelines: What can be shared with AI tools? What should never be shared? GDPR, NDAs, customer information, and personal data considerations
- Organizational AI policies and why they matter.
Exercise: evaluate sample prompts and determine whether they are safe, require modification, or are unacceptable.
- Creating Prompts for Your Own Work
Designing prompts tailored to individual responsibilities with trainer feedback.
Building a personal “AI cheat sheet” containing key principles and reusable prompt templates.
