Who is the training for?
Marketing specialists and copywriters
HR and employer branding teams
Project managers
Team and department leaders
Anyone who wants to effectively use AI in their daily work
Beginners and advanced users of AI tools
No previous experience with AI is necessary - the training is also suitable for complete beginners.
Course participants will learn
How to formulate a prompt so that the AI understands the task precisely
What is the difference between a "good" and a "bad" prompt
How to create your own templates for repetitive tasks
How to use advanced prompting techniques
How to prompt in various tools - ChatGPT, Copilot, Midjourney and the like
How to ask AI questions creatively, analytically and effectively
Form of training
🖥 Online / in person (by appointment)
⏱ 9:00 - 16:00
📄 Materials and instructions included
👥 Possibility of individual and team training
Group discounts (20% for 3+ participants).
Early-bird (10% discount when registering 30 days in advance).
Referral program (discount for another course during the year).
No specific training is required to participate in the course, but participants should have basic knowledge of working with a computer and the Internet.
Training content
1. AI and Large Language Models (LLM) Basics
What are LLMs and how do they work
How AI understands language and generates responses
Differences between ChatGPT, Copilot, Gemini and other tools
2. Prompt construction and conversation management
Structure of an effective prompt: context, task, format, style
Types of prompts: open, closed, creative, analytical
How to conduct a conversation with AI - iterative questioning and follow-up
3. Output types and their customization
How to influence the format, length, style and tonality of the response
Prompting according to the target group and intended purpose
Customizing the output: brevity, formality, tone, structure
4. Parameters affecting the output
System messages, limitations and instructions
How the output changes with small adjustments to the assignment
Testing different versions of prompts
5. Iteration and improvement of prompts
How to read AI outputs and what to ask more
Iteration technique: adjusting the assignment according to feedback from AI
Improving prompts for higher accuracy and usefulness
6. Practical use cases by area
Marketing: content, campaigns, ideas, tone of voice
Project management: summaries, planning, tasks
HR: job ads, assessments, emails, onboarding
Presentation creation: outlines, slides, notes
Programming: code generation, debugging, comments
Language editing: translations, grammar, summaries
Working with documents: summaries, analyses, answer suggestions
7. Complex and repeatable prompts
8. Visualization and working with multimedia
Creating prompts for generating images and graphics (e.g. Canva AI, DALL·E)
Visual content as output from a text prompt
9. Ethics, risks and limits of AI
Hallucinations and false answers: how to reveal
Reliability, verification and critical thinking
Data protection, privacy, copyright and use of outputs
10. Practical part and custom prompts
Creating prompts tailored to the profession and industry
Consulting custom examples
Working with sources and libraries of advanced prompts
