Course detail

Applying AI in the Enterprise

FP-aaiPAcad. year: 2026/2027

The course focuses on explaining the basic principles of communication and working with artificial intelligence, the principles of its use, its limitations, and on the practical application of artificial intelligence tools in various areas of business management as a tool for management support.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Radek Doskočil, Ph.D., MSc

Department

Institute of Informatics (ÚI)

Entry knowledge

Rules for evaluation and completion of the course

COMPLETION OF THE COURSE
Requirements for gaining the credit:
Semester work: max. 40 points, min. 20 points required. The credit is granted for a minimum of 20 points.

Examination requirements:
The examination is in writing (oral examination if necessary). The examination can only be taken by students who have the credit entered in IS and who have applied through IS. The examination contains test and open questions; the maximum number of points available is 60, and in order to pass the examination it is necessary to get at least 30 points.

The resulting mark for the course is the sum of the points from the seminars and the examination according the grade scale ECTS of BUT Study and Examination Regulations:
A: 100 – 90 points
B: 89 – 80 points
C: 79 – 70 points
D: 69 – 60 points
E: 59 – 50 points
F: 49 – 0 points

COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY
Requirements for gaining the credit:
The same as in the section COMPLETION OF THE COURSE.
Examination requirements:
The same as in the section COMPLETION OF THE COURSE.

COMPLETION OF THE COURSE USING DISTANCE FORM (APPLIES ONLY WHEN OBJECTIVE EXTERNAL CIRCUMSTANCES DO NOT ALLOW THE IMPLEMENTATION OF THE STUDY PROGRAM IN ACCORDANCE WITH THE GRANTED ACCREDITATION)
Requirements for gaining the credit:
The same as in the section COMPLETION OF THE COURSE.
Examination requirements:
The same as in the section COMPLETION OF THE COURSE.

A student’s own work on the tasks assigned is checked.

Aims

The aim of the course is to familiarize students with the basic principles of communication and work with artificial intelligence, the principles of its use and its limitations, as a tool to support business management and managerial decision-making. After successful completion, students will be able to apply artificial intelligence tools in various areas of business management, including their evaluation, effective use and adherence to ethical principles.

Study aids

See Course literature.
Study materials available on e-learning.

Prerequisites and corequisites

Not applicable.

Basic literature

KNIHOVÁ, Ladislava. AI marketing playbook: jak ChatGPT a umělá inteligence mění svět marketingu. Praha: Grada, 2024. ISBN 978-80-271-5226-1. (CS)
VALDA, Vojtěch a TOMÁŠEK, Milan. Rozhovory s umělou inteligencí. Praha: Venkovský dům, 2023. ISBN 978-80-908235-2-5. (CS)

Recommended reading

HUNTER, N. The Art of Prompt Engineering with chatGPT: A Hands-On Guide. Independently published, 2023. ISBN 1739296710. (EN)
ILIADIS, Lazaros; PAPALEONIDAS, Antonios; ANGELOV, Plamen a JAYNE, Chrisina. Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part I. 14254. Cham: Springer, 2023. ISBN 9783031442063. (EN)
MURPHY, Kevin P. Probabilistic machine learning: an introduction. Cambridge, Massachusetts ; London, England: The MIT Press, 2022. ISBN 978-0-262-04682-4. (EN)
TUNSTALL, Lewis; WERRA, Lenadro von; WOLF, Thomas a GÉRON, Aurélien. Natural language processing with transformers: building language applications with Hugging Face. Revised edition. Beijing: O'Reilly, 2022. ISBN 9781098136796. (EN)

Classification of course in study plans

  • Programme BAK-EAM Bachelor's

    specialization BAK-EAM-EP , 3 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

  1. Definition of the course and introduction to basic terms.
  2. Key principles and technologies of AI.
  3. AI safety.
  4. Large Language Model (LLM).
  5. Chatbot models.
  6. Promting.
  7. Agents.
  8. Retrieval Augmented Generation (RAG).
  9. Application of AI in business processes.
  10. Evaluating investments in AI.
  11. AI and risk management.
  12. Ethical aspects of AI.
  13. Trends in AI.

Exercise

13 hod., compulsory

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Syllabus

  1. Promting - the basics.
  2. Promting - advanced.
  3. Agents - basics.
  4. Agents - advanced.
  5. Defence of the semester work.

    Odborné znalosti
    Student zná základní principy komunikace a práce s umělou inteligencí, zásady jejího používání a její limitace, jakožto nástroje k řízení podniku a manažerskému rozhodování.

    Odborné způsobilosti
    Student umí komunikovat s umělou inteligencí, vytvářet, ladit a nasazovat agenty umělé inteligence včetně vyčíslení jejich přidané hodnoty pro podnik.

    Odborné dovednosti
    Student dokáže aplikovat nástroje umělé inteligence v různých oblastech řízení podniku, včetně jejich evaluace, efektivního využívání a dodržování etických zásad.

  6. Defence of the semester work.

Learning outcomes:

Professional knowledge

The student knows the basic principles of communication and work with artificial intelligence, the principles of its use and its limitations as a tool for business management and managerial decision-making.

Professional competences

The student can communicate with artificial intelligence, create, debug and deploy artificial intelligence agents, including quantifying their added value for the business.

Professional skills

The student can apply artificial intelligence tools in various areas of business management, including their evaluation, effective use and adherence to ethical principles.

Self-study

52 hod., optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc

Individual preparation for an ending of the course

39 hod., optionally

Teacher / Lecturer

doc. Ing. Radek Doskočil, Ph.D., MSc