AI – Artificial intelligence and GPT in practice. Prompt Engineering

Training process

Training needs analysis

If you have specific requirements regarding the training programme, we will carry out a training needs analysis for you. This will guide us on which aspects of the programme should receive greater emphasis, so that the training programme meets your specific needs.

What will you gain?

You work with AI more effectively - You will learn how to write precise prompts that help you get more relevant answers, better content drafts, and useful results faster, without repeatedly rewriting your instructions.

You speed up text work - You will handle emails, reports, notes, and summaries more efficiently, while also learning how to shorten, expand, and tailor content to your audience and communication goal.

You analyze data and documents better - You will discover how to use AI with tables, documents, and text files to extract key information, build concise summaries, and turn raw content into practical business insights.

You organize work and information - You will learn to use AI for plans, checklists, schedules, meeting notes, and knowledge structures, making it easier for you to stay organized and support everyday decisions.

You create materials faster - You will explore how AI can support presentations, quizzes, educational content, communication assets, marketing materials, and simple multimedia concepts for daily business use.

You use AI more safely - You will understand how to protect data, reduce hallucination risk, verify outputs, and use AI tools responsibly in line with good practice and the requirements of your organization.

You spot tasks worth automating - You will learn how to identify processes where AI can truly save time, improve reporting, analysis, and communication, and help you assess whether automation is worth the effort.

You understand where AI is heading - You will learn the differences between chatbots, generative AI tools, and AI agents, so you can choose solutions that fit your daily work and your company’s future needs.

Training programme

1. Introduction to artificial intelligence and language models

what is artificial intelligence and machine learning?
how do GPT-type language models work?
differences between conversational models and generative AI tools,
capabilities and limitations of language models,
areas of AI application in intellectual and creative work.

2. Applications of AI in business practice

automation of tasks related to text processing, data analysis and reporting,
support for the work of departments: sales, marketing, HR, finance, administration and customer service,
examples of AI applications in everyday company processes,
benefits, limitations and risks associated with implementing AI in the organization,
identification of tasks that can be improved with the help of AI.

3. Fundamentals of Prompt Engineering – how to communicate effectively with AI

what is a prompt and how to formulate it correctly?
the role of context, goal, intention and precision of the instruction,
how to ask questions to obtain more accurate answers?
examples of effective and ineffective prompts,
the most common mistakes in communication with AI.

4. Creating advanced prompts step by step

breaking down complex tasks into stages,
creating roles and personas in prompts,
providing input data and specifying the expected result,
formatting responses: tables, lists, summaries, report structures,
iterative improvement of prompts and refining results.

5. Editing and transforming content with the help of AI

writing and editing texts: emails, reports, descriptions, summaries, notes,
creating alternative versions, shortening and expanding content,
adjusting the style and tone of expression to the recipient,
language correction, error correction and message optimization,
generating longer text forms: articles, scripts, reports and informational materials.

6. Data and document analysis

working with tables, text files and documents,
generating compilations, summaries and interpretations,
extracting key information from documents,
creating questions for data and documents,
verification of the correctness of answers and quality control of results.

7. Work organization and information management

creating plans, checklists and schedules,
generating notes, meeting summaries and task lists,
organizing information and creating knowledge structures,
AI support in decision-making and generating solution proposals,
preparing instructions, procedures and work templates.

8. AI-supported resource and multimedia creators

creating content for presentations, graphic materials and visualizations,
preparing concepts for simple animations and video materials,
generating tests, quizzes and teaching materials,
AI support in writing, searching for information and editing content,
designing communication, educational and marketing materials with the help of AI.

9. Ethics, security and law in the use of AI

what are AI agents and how do they differ from classic chatbots?
examples of AI agent applications in business: information analysis, process handling, preparation of materials, decision support and automation of repetitive tasks,
current changes in the ecosystem of agent tools – Agent Builder is being phased out, and its place is being taken by Agents SDK and ChatGPT workplace agents,
Agents SDK as a tool for building, orchestrating and developing AI agents performing multi-step tasks,
ChatGPT workplace agents, i.e. agents operating in the ChatGPT work environment, supporting the automation of repetitive workflows, work with company tools and the execution of team tasks,
the role of integration with documents, applications, data sources and business processes,
security, human oversight and quality control in working with AI agents.

10. Integration of AI with everyday work

protection of personal data and confidential information – good practices compliant with GDPR,
responsibility for content generated by AI,
fact verification and limiting so-called hallucinations,
risks related to decision automation,
ethical challenges: transparency, manipulation, copyright,
safe use of AI tools in the organizational environment.

11. Integration of AI with daily work

combining AI with documents, forms, processes and daily tasks,
designing simple automation scenarios,
creating standards for the use of AI in the team,
selection of tasks for automation and assessment of their profitability,
directions of AI technology development: agents, model collaboration, process automation and long-term applications in the organization.

What are the prerequisites for participating in the training?

Basic computer skills - You should be comfortable using a computer, a web browser, a text editor, and standard office tools so you can focus on learning how to work effectively with AI.

Experience with text-based work - You should have practical experience writing or editing emails, notes, reports, or descriptions, because the training focuses on improving exactly these kinds of tasks.

Ability to analyze information - You should be able to read documents, tables, and summaries and draw basic conclusions from them, as the training includes hands-on work with data and interpretations.

Willingness to test tools - You should be ready to test different instructions on your own, compare outputs, and refine your questions, because effective AI use depends on practical experimentation.