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Pumpedu Artificial intelligence (AI) AI Tasking: From a Simple Question to a Usable Result

AI Tasking: From a Simple Question to a Usable Result

The module will teach you how to formulate tasks for AI tools so that the output is truly usable – not just a quick answer, but a result that meets a specific need. Participants will learn to work with context, role, format, and gradual refinement of the task.
Level
Designed for participants without knowledge and experience
basic
Course length
3 hours
Language
cz
Course code
PU00010040
Select a date 
Artificial intelligence (AI)
Category:
Artificial intelligence (AI)
Do you want this tailor-made course to your company? Contact us

Courses with lecturer

Term
Language
Place
Form
?
How and where the course takes place.
Price without VAT
17. 7. 2026 09:00 - 12:30
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU00010040-0002
Price without VAT
3 900 Kč
Order
18. 9. 2026 09:00 - 12:30
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU00010040-0003
Price without VAT
3 900 Kč
Order
27. 11. 2026 09:00 - 12:30
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU00010040-0004
Price without VAT
3 900 Kč
Order
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU00010040-0001
Price without VAT
3 900 Kč
Order

Course description

The quality of output from an AI tool depends primarily on how the prompt is formulated. This module shows that a prompt is not a one-time question, but a way of managing work with the tool – and that this is where the most common disappointments with AI arise.
Participants will learn to describe the goal, context and expected output so that the model receives enough information to provide a relevant answer. The module focuses on working with the role, audience, tone and format of the prompt and shows how to gradually refine the prompt in multiple steps, instead of the participant being satisfied with the first answer.
Emphasis is also placed on practical tools for increasing the quality of the output – providing examples, setting constraints and quality criteria. The module analyzes the most common mistakes in prompting and explains that a different approach to the prompt is needed for idea generation, and another for analysis, summary, review or content creation.

Target audience

  • employees and managers who want to receive more relevant outputs from AI tools,
  • companies that want to standardize the way AI tasks are assigned within the team,
  • people who have experience with AI tools but are often dissatisfied with the outputs,
  • participants following up on previous AI Academy modules.

Course content

  • How to describe the goal, context and expected output
  • Working with role, audience, tone and format
  • Sequentially refining the brief in multiple steps
  • Examples, constraints and quality criteria as part of the brief
  • Common prompting mistakes
  • The difference between prompting for ideas, analysis, summary, review and content creation

Certification

Upon completion of the course, you will receive a Pumpedu certificate issued by an authorized training provider with accreditations from leading international organizations in IT, project management, and professional development.
 
Obrázek certifikátu

Objectives

  • Learn to formulate the goal, context and expected outcome of the assignment.
  • Work with the role, audience, tone and format in the assignment.
  • Master the gradual refinement of the assignment in multiple steps.
  • Use examples, constraints and quality criteria for better outputs.
  • Recognize and avoid the most common mistakes when prompting.

Frequently Asked Questions

What is a prompt and why does its formulation matter?
A prompt is a task for an AI tool. Its quality directly affects how relevant and usable the output will be.

How to improve the task if the first AI response does not meet expectations?
The task can be gradually refined - by adding context, examples, constraints or specifying the required format.

Are the tasks different for different types of tasks?
Yes, one approach is suitable for generating ideas, another for analysis, summary, review or content creation.

What are the most common mistakes when assigning AI tasks?
Typical mistakes include a vaguely formulated goal, missing context or the absence of requirements for the format and scope of the output.

Is the module also suitable for people who already work with AI?
Yes, the module is also useful for those who commonly use AI tools, but want to systematize the task and improve the quality of the outputs.

Lecturers

Michal Kolomazník
Michal Kolomazník

Michal currently works at Microsoft as an Agile Coach & Principal Project Manager & PCAI, where he leads an AI transformation portfolio with a team of over 70 people. He was at the birth of the Business Value Program and for his work he received the Microsoft SPARK Award and inclusion in the Platinum Club (reserved for the 200 most influential people within Microsoft).

Michal is not “just” a technical specialist or “just” a manager, but he can connect both levels:

  • Technical experience with AI – implementing RAG and agent AI solutions from prototype to production operation, working with Copilot Studio, Azure AI and other tools
  • Change management – ​​certified Prosci Advanced Instructor, i.e. a person who trains and coaches other lecturers and leaders in change management – ​​exactly what is the most common weak point in AI adoption
  • Governance and security – ISO/IEC 42001 certified auditor (AI management systems), CISO certification, experience with Microsoft Sentinel and Defender
  • Business experience – previously Finance Manager at Procter & Gamble (CAPEX and investment planning management for a business unit with a turnover of over 1 billion USD) and Purchasing & Quality Manager at ENGIE
Thanks to this combination, Michal can truly adapt the training to the target group – sometimes he will lead a workshop for company management, sometimes technical training for the IT team and sometimes a practical course for regular users. It is not one universal slide deck, but content tailored to the role, experience and specific situations of the participants.

Do you want this tailor-made course for your company?

Contact us

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Previous courses

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Artificial intelligence (AI) 15. 11. 2024
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HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.

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DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.

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