Training offer for TUKE employees and PhD students entitled "AI in the academic environment: effective tools and techniques for teaching and automation of activities"

03.04. 2025

Training offer for TUKE employees and PhD students entitled "AI in the academic environment: effective tools and techniques for teaching and automation of activities"

The training will be conducted ONLINE (via Webex) and is aimed at improving skills in working with AI tools.

The training is FREE only for registered teaching and non-teaching staff and PhD students of TUKE. Registration only until 8.4.2025 at: https://forms.office.com/e/DDTZG4z3fL

A login link to Webex will be sent to your email address by 9.4.2025.

Dates and content of online training:

Date and time of training	Title of training and lecturer	Content of the training
10.4.2025 17:30-20:30	Prompt Engineering Lecturer: Anna Nováková	The basics of prompt engineering – how to formulate questions effectively. Advanced techniques to improve AI answers. Different approaches and strategies when interacting with models. Practical examples and application demonstrations.
16.4.2025 17:30-20:30	Using AI in teaching Lecturer: Zdeněk Valut	Generating tutorials and tests: how to use AI to create tests and prepare content tailored to students' needs. How to effectively explain the principles of AI and its role in the academic environment. The ethics of AI in education: What are the risks of misusing AI? How to create an academic code for AI? How to properly cite sources from AI: Citation standards and transparency in academic writing. AI-driven science: How AI helps in academic research, an overview of tools like Deep Research and Consensus. Personalized explanation: How AI helps in teaching personalized lessons. Recognizing the limitations and risks of AI: How to distinguish between genuine and synthetically created materials.
23.4.2025 17:30-20:30	AI in higher education: research and administration Lecturer: Milan Kaštovský, Anna Nováková	AI in scientific research: finding expert sources using Deep Search, Thinking and Alternatives models. AI in academic writing – generating abstracts, structuring research and working properly with AI tools. Creating AI assistants – personalized models (GPT-4, Custom GPTs) for more efficient work and its automation. Automating email communication – AI replies, message retrieval and linking to calendar other office applications. Linking AI to low-code/no-code platforms – Make.com and automation of administrative tasks. Automatic generation of meeting minutes – structuring and archiving information using AI. Hands-on demonstrations and discussions – specific AI use case scenarios and experience sharing.

Course of each training: 2 hours lecture + 1 hour discussion (possibility to ask questions directly or in chat).

Important note: A CERTIFICATE of completion will be awarded to participants who complete at least two of the three training sessions.

The training is implemented within the framework of the project "One step forward with AI" implemented at the Faculty of Economics of TUKE from the funds of the Tatra banka Foundation.

Training offer for TUKE employees and PhD students entitled "AI in the academic environment: effective tools and techniques for teaching and automation of activities"

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Training offer for TUKE employees and PhD students entitled "AI in the academic environment: effective tools and techniques for teaching and automation of activities"

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