AI Toolbox – AI tools ecosystem, their selection and effective use

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?

Choose the right tools - You will learn how to quickly assess which AI tool fits writing, analysis, research, file work, or visual content creation, so you can pick the best option for each task.

Compare leading AI platforms - You will see the practical differences between ChatGPT, Gemini, Claude, Copilot, and other tools, helping you select solutions that match the way you actually work.

Handle documents faster - You will learn how to summarize reports, find key facts in large materials, compare documents, and refine content more quickly while keeping your work clear and accurate.

Improve research and search - You will use AI more effectively for research, source comparison, summaries, and answer verification, so you can reduce the risk of outdated or misleading information.

Write better prompts - You will master prompts with a clear goal, context, and response format, and learn how to refine results step by step instead of restarting the conversation each time.

Build your own AI toolbox - You will design a practical set of primary and supporting AI tools, connect their strengths into a simple workflow, and avoid clutter caused by too many overlapping apps.

Use multimodal AI - You will explore tools that work with text, images, voice, and files, so you can apply AI more effectively in presentations, PDF analysis, and visual content tasks.

Work with AI more safely - You will learn how to use AI responsibly, what data you should not share with tools, and how to manage hallucinations while checking the quality of generated output.

Training programme

1. The AI tools ecosystem – how to find your way in it

the most important categories of AI tools,
differences between chatbots, assistants, generators and specialist tools,
general-purpose models versus dedicated solutions,
free and paid versions of tools,
how to quickly assess what a given tool will work best for.

2. Overview of the most popular generative AI tools

ChatGPT, Gemini, Claude, Grok, Microsoft Copilot and other solutions,
the most important capabilities of individual tools,
strengths and limitations,
differences in the way of working with text, data, files and Internet,
when it is worth using more than one tool.

3. How to choose an AI tool for a specific task

defining the goal before choosing a solution,
selection of AI for creating texts and communication,
AI for analysis of information and documents,
AI for working with data and spreadsheets,
AI for research and searching for information,
AI for presentations, graphics and visual materials,
AI for work organization and increasing productivity.

4. AI for search and research

traditional search engines vs. AI-supported search engines,
searching for information using the use of AI models,
analysis i comparison of sources,
creating summaries of a larger amount of information,
verification of answers generated by AI,
reducing the risk of incorrect or outdated information.

5. AI in working with documents and content

summarizing documents and reports,
searching for information in large materials,
comparing documents,
creating new content based on existing materials,
editing, shortening and simplifying texts,
translating and adapting content to the audience.

6. AI as support for everyday work

preparing messages and responses,
creating notes, summaries and task lists,
preparing action plans,
generating ideas and solution variants,
organizing andinformation,
preparing materials for meetings.

7. Prompting – how to communicate effectively with AI

what a good prompt is,
defining the goal, context and the expected result,
indicating the role, recipient and response format,
clarifying instructions,
iterative work with AI,
improving responses instead of starting from scratch.

8. Prompting techniques increasing the quality of responses

creating prompts step by step,
using examples,
asking AI additional criteria and constraints,
asking for several solution variants,
comparing results from different tools,
building your own prompt templates.

9. One tool or several? Building your own AI Toolbox

selection of a set of tools for everyday work,
defining the main and supporting AI tool,
combining the capabilities of different applications,
transferring results between tools,
avoiding duplication of functions and an excess of applications,
creating a simple AI workflow AI tailored to one's own tasks.

10. Multimodal AI – text, image, voice and files

working with images and photos,
analysis of PDF documents and presentations,
use of voice in working with AI,
generation of graphics and visual materials,
capabilities and limitations of multimodal models.

11. AI for automation and more advanced applications

the difference between a chatbot, an assistant and an AI agent,
automating repetitive tasks,
AI working with other applications,
the basics of AI agents and automation based on AI,
when automation makes sense, and when an ordinary chatbot is enough.

12. Safety and responsible use of AI tools

what data can be provided to AI,
and confidential information, personal data and company data,
differences between private accounts and business solutions,
the risk of hallucinations and incorrect answers,
the principle of limited trust in generated content,
best practices for safe use of AI.

13. How to evaluate new AI tools

whether the new tool actually solves the problem,
functionality versus attractive marketing,
quality of results and ease of use,
the possibility of integration with the current work environment,
security and the data processing model,
cost in relation to actual value.

14. Effective work with AI – good practices

when AI actually saves time,
tasks that are not worth delegating to AI,
controlling the quality of results,
combining human knowledge with the capabilities of AI,
creating your own standards for working with AI tools.

15. Building your own AI Toolbox – summary

tool map tailored to the most common tasks,
selection of basic and supplementary tools,
defining applications for individual solutions,
preparing your own set of prompts and good practices,
plan for further development of AI competencies.

What are the prerequisites for participating in the training?

Basic computer skills - You should be comfortable using a computer, a web browser, and common office applications, so you can focus on selecting and using AI tools during the training.

Document work experience - You should have experience reading, editing, and creating documents, messages, or presentations, because the training shows how AI can support these tasks.

Internet research basics - You should know how to search for information online and assess basic sources on your own, because the training also uses AI for research and information discovery.

Clear task definition - You should be able to describe your work tasks and goals clearly, because the training focuses on choosing AI tools for specific, real-world use cases.