B_PH_AIP_p AI in Business and Practice

NEWTON University
summer 2026
Extent and Intensity
1/1. 4 credit(s). Type of Completion: graded credit.
Teacher(s)
PhDr. Ing. Vladimír Borský, Ph.D., LL.M., MBA, MSc. (lecturer)
Ing. Vítězslav Klement, MBA (lecturer)
Ing. Vítězslav Klement, MBA (seminar tutor)
Ing. Martin Andrt (seminar tutor)
Mgr. Ester Kaňovská (seminar tutor)
Ing. Michal Netolický (lecturer)
Ing. Zdeněk Mikulka, Ph.D., B.Th., MSc. (lecturer)
Guaranteed by
PhDr. Ing. Vladimír Borský, Ph.D., LL.M., MBA, MSc.
Centre for Competences Development – Academic Department – NEWTON University
Timetable
Wed 25. 2. 9:40–11:10 WebinarJam, Wed 11. 3. 9:40–11:10 WebinarJam, Wed 25. 3. 9:40–11:10 WebinarJam, Wed 8. 4. 9:40–11:10 WebinarJam, Wed 22. 4. 9:40–11:10 WebinarJam, Wed 6. 5. 9:40–11:10 WebinarJam
  • Timetable of Seminar Groups:
B_PH_AIP_p/01: each odd Tuesday 9:40–11:10 PH Učebna 09, except Tue 10. 3., except Tue 24. 3., except Tue 7. 4. ; and Tue 5. 5. 9:40–11:10 PH Učebna 09, Thu 7. 5. 9:40–11:10 PH Učebna 09, Tue 12. 5. 9:40–11:10 PH Učebna 09, V. Klement
B_PH_AIP_p/02: each odd Tuesday 11:20–12:50 PH Učebna 12, except Tue 10. 3., except Tue 24. 3., except Tue 7. 4., except Tue 21. 4. ; and Tue 21. 4. 11:20–12:50 PH Učebna 07, Tue 5. 5. 11:20–12:50 PH Učebna 12, Thu 7. 5. 11:10–12:50 PH Učebna 09, Tue 12. 5. 11:20–12:50 PH Učebna 12, V. Klement
B_PH_AIP_p/03: each odd Tuesday 8:00–9:30 PH Učebna 09, except Tue 10. 3., except Tue 24. 3., except Tue 7. 4. ; and Tue 5. 5. 8:00–9:30 PH Učebna 09, Thu 7. 5. 8:00–9:30 PH Učebna 09, Tue 12. 5. 8:00–9:30 PH Učebna 09, V. Klement
B_PH_AIP_p/04: each odd Tuesday 13:30–15:00 PH Učebna 12, except Tue 10. 3., except Tue 24. 3., except Tue 7. 4., except Tue 21. 4. ; and Tue 21. 4. 13:30–15:00 PH Učebna 07, Tue 5. 5. 13:30–15:00 PH Učebna 12, Thu 7. 5. 13:30–15:00 PH Učebna 12, Tue 12. 5. 13:30–15:00 PH Učebna 12, V. Klement
B_PH_AIP_p/05: each even Tuesday 13:30–15:00 PH Učebna 06, E. Kaňovská
B_PH_AIP_p/06: each odd Tuesday 13:30–15:00 PH Učebna 06, E. Kaňovská
B_PH_AIP_p/07: each odd Monday 9:40–11:10 PH Učebna 07; and Mon 4. 5. 9:40–11:10 PH Učebna 07, M. Andrt
B_PH_AIP_p/08: each even Monday 9:40–11:10 PH Učebna 07, M. Andrt
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the course is to introduce students to the fundamental principles of artificial intelligence and its applications across various business sectors. Students will gain a basic understanding of machine learning, how chatbots based on large language model technology work, and the legal and ethical aspects of AI. They will be able to apply this knowledge to drive innovation in a business environment.
Syllabus

Lecture topics:

  • Basic terminology in artificial intelligence technology

  • Large language models and chatbots; prompt engineering

  • Using AI in marketing and automation

  • Machine learning for business and management

  • Generative AI in practice

  • Ethics in the use of artificial intelligence

Seminar topics:

  • Introduction to working with AI tools; prompting

  • Large language model chatbots

  • Tools for creating graphics

  • Tools for creating videos

  • AI agents and chatbots

  • Team project development and presentation

Literature
    required literature
  • BARTOŠ, Pavel. A.I. umělá inteligence, úvod do problematiky a současné trendy: Jak zprovoznit vlastní A.I. Praha: Evropská akademie vzdělávání SE, 2023.
    recommended literature
  • POSPÍŠIL, Zdeněk. Člověk a umělá inteligence. Praha: Epocha, 2024. 96 s. ISBN 978-80-278-1506-7. Elektronická kniha. Dostupné z: https://www.google.cz/books/edition/Člověk_a_umělá_inteligence/_uhNEQAAQBAJ
  • KLEMENT, Vítězslav. Umělá inteligence pro Váš marketing: praktický průvodce využití umělé inteligence v marketingu. Vítězslav Klement, 2025. 205 s. ISBN 978-80-11-06425-9.
Assessment methods
Students will form teams of 3–5 members to develop and subsequently present a group project. They will choose a specific setting (e.g., a company, a school, or a hobby context) and prepare a proposal for the practical use of artificial intelligence tools to address selected tasks and improve process efficiency.
Language of instruction
Czech
  • Enrolment Statistics (recent)
  • Permalink: https://is.newton.cz/course/nu/summer2026/B_PH_AIP_p