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Art+Tech for Higher Education

“Learn how to create engaging, academically rigorous teaching materials with creative AI tools – confidently, ethically, and in ways that save time while supporting student learning.”  –  TAH Centre

Art-Tech for Higher Education is offered at two levels to match your experience with AI tools. Both are five-day hands-on courses that equip university educators with practical skills and ethical frameworks for using generative AI in teaching and research. The Foundation level is designed for those new to AI tools, while the Practice level suits academics ready to actively integrate AI into their practice.

Participants will explore applications across text, image, audio, and video, while reflecting on issues of academic integrity, authorship, and privacy. Each day is led by domain experts, combining demonstrations, guided practice, and critical discussion. Alongside experimenting with tools, participants will co-create personal guidelines for responsible AI use and gain strategies for evaluating future developments. The course is eligible for Erasmus+ Staff Mobility and results in a certificate of attendance.

Who Should Attend

  • University lecturers and tutors
  • Studio leaders and course designers
  • Educational technologists and curriculum developers
  • Academic innovators seeking to responsibly integrate AI into higher education

Learning Outcomes

By the end of the course, participants will be able to:

  • Critically navigate the rapidly evolving landscape of generative AI in higher education.
  • Apply workflow thinking to explore how text, image, audio, and video modalities can support student engagement.
  • Prototype AI-supported educational content in the medium most relevant to their teaching context.
  • Draft personal and institutional guidelines for responsible AI use, developed through ongoing reflection and group discussion.
  • Recognize and integrate human-centered practices, including embodied and multisensory approaches, as a counterbalance to synthetic media.
  • Future-proof their teaching practice by identifying strategies for evaluating emerging technologies over time.

Date

July 12 – 16, 2026

Location

Institute of Czech Literature of the CAS (Na Florenci 3/1420
110 15 Praha 1)

Format

5-day intensive course with hands-on workshops with internationally recognised experts

Difficulty

Intermediate – Building on AI basics

Certificate

Proof of Attendance

Language

English

Fees

395 EUR or 10.000 CZK per participant

The course is eligible for Erasmus+ Staff Mobility Week

20% discount for TAH association members

Registration Deadline

June 20, 2026

Registration

Date

TBC for 2027

Location

TBC

Format

5-day intensive course with hands-on workshops with internationally recognised experts

Difficulty

Beginner – First steps with creative AI

Certificate

Proof of Attendance

Language

English

Fees

395 EUR or 10.000 CZK per participant

The course is eligible for Erasmus+ Staff Mobility Week

20% discount for TAH association members

Registration Deadline

20 January, 2026

Registration

Why This Course Matters

Generative AI is already part of your students’ daily lives. Institutions, however, are still defining their approaches – leaving educators caught between innovation and uncertainty. This course provides clarity: it equips you with the tools, strategies, and ethical framework to engage AI responsibly, while maintaining academic integrity and educational quality.

Instead of following a one-size-fits-all recipe, you’ll explore a range of modalities and select the approaches that make sense for your teaching. Along the way, you’ll develop an AI-use policy for your own practice and join a network of peers facing similar challenges.

After Completing The Course, You Will Be Able To:

  • Produce AI-assisted educational materials in text, image, audio, and/or video formats.
  • Evaluate tools against critical criteria: privacy, cost, accessibility, pedagogical fit.
  • Integrate AI-enhanced resources into existing curricula while safeguarding academic integrity.
  • Co-create and refine your own ethical guidelines for AI in education.
  • Reflect on embodied and multisensory approaches as complementary to digital tools.
  • Anticipate and adapt to technological change with a futureproof mindset.

Pre-requisites:

Which Level is Right for You?

Foundation Level: You’re new to AI tools or want to start from the beginning with structured guidance.

Practice Level: You’re familiar with AI tools like ChatGPT, Google AI Studio, Claude or similar platforms and are ready to integrate them into your practice.

Course Structure

Across five days, the Advanced course builds on the Foundation-level programme with deeper, hands-on work: participants bring a real AI challenge from their own teaching or research practice and develop it across the whole week as a through-line assignment, presented on the final day.

Day 1: Arrival, Introductions & the Through-Line Challenge

A relaxed start to the week. Meet the teaching team and fellow participants, and present the real AI challenge from your own teaching or research practice that you’ll work on throughout the week. Returning participants share what they implemented after the beginner edition – and what actually happened.

Day 2: Advanced LLMs & Academic Practice

Go beyond the basics of text-based AI. Explore recent developments in large language models, build custom GPTs and specialised assistants for scientific work, and design multi-model workflows for research and teaching – hands-on, applied to your own context.

Day 3: Working Session & AI Audio for Education

A dedicated working session to finish and deepen what you started with LLMs on Day 2, with space for individual and pair work on real challenges. In the afternoon, shift to AI audio: voice synthesis, conversational agents, podcasts, and interactive audio scenarios for teaching.

Day 4: AI Images, Video & Vibecoding

Explore the state of the art in generative visual AI and build repeatable image-generation workflows, then get a practical, no-hype overview of AI video for education. In the afternoon, try vibecoding – building functional tools with AI without being a programmer, and prototype something you can actually use in your own teaching.

Day 5: AI Ethics, Epistemic Agency & Embodied Closing

Examine how AI is reshaping not just what we produce, but how we think, know, and reason – and what epistemic agency means when we outsource part of that to AI. In the afternoon, return to the body: a multisensory, embodied session as a counterpoint to a week of screens. Close with participant presentations of your through-line challenge and diploma ceremony.

Daily Agenda

18:00 – 20:00  |  Welcome & Introductions  —  Lenka Hámošová

  • Meet the teaching team and fellow participants
  • Each participant presents their pre-course assignment: a real AI challenge from their teaching or research practice — process, not just result
  • Returning participants share what they tried to implement after the beginner edition and what happened
  • Overview of the week structure and the through-line assignment

09:30 – 10:00  |  Warm-up & facilitated discussion  —  Lenka Hámošová

  • Expectations, personal experiences, grounding

10:00 – 12:30  |  Morning Session: Advanced LLMs in Academic Work  —  Michaela Liegertová

  • New developments in large language models — what has changed
  • Advanced practical applications: research workflows, synthesis, academic writing support
  • Custom GPTs and specialised AI assistants for scientific work
  • Hands-on: building a workflow for your own research or teaching context

12:30 – 13:30  |  Lunch Break

13:30 – 16:00  |  Afternoon Session: Hands-on with LLMs  —  Michaela Liegertová

  • Multi-model workflows and comparative tool use
  • Processing and analysing complex documents and datasets
  • Peer exchange: prompt patterns and workflows that actually work
  • Unfinished tasks and experiments to continue tomorrow

16:00 – 16:30  |  Closing circle: reflections + grounding  —  Lenka Hámošová

09:30 – 10:00  |  Warm-up  —  Lenka Hámošová

10:00 – 12:30  |  Morning Session: Working Session — LLMs in Practice  —  Lenka Hámošová (facilitation)

  • Participants continue and complete work started with Michaela on Monday
  • Individual and pair work on real teaching or research challenges
  • Short share-back: 2–3 participants present what they built and what they learned

12:30 – 13:30  |  Lunch Break

13:30 – 16:00  |  Afternoon Session: AI Audio for Education  —  Ondřej Hrách

  • AI-generated audio, voice synthesis, and conversational agents
  • Podcasts, lecture companions, and audio-based teaching activities
  • Designing interactive audio scenarios for student practice and feedback
  • Small-group prototyping of audio tools for participants’ own contexts

16:00 – 16:30  |  Closing circle: reflections + grounding  —  Lenka Hámošová

09:30 – 10:00  |  Warm-up  —  Lenka Hámošová

10:00 – 12:30  |  Morning Session: Visual AI — State of the Art & Advanced Workflows  —  Lukáš Eršil

  • State of the art in generative visual AI — what exists now and where it’s heading
  • Automated workflows and AI agents for visual content creation
  • Advanced image generation: beyond single prompts, building repeatable pipelines
  • AI video: practical overview for educators — what’s genuinely useful and what isn’t worth the cost

12:30 – 13:30  |  Lunch Break

13:30 – 16:00  |  Afternoon Session: Vibecoding — Building Tools with AI  —  Martin Richter

  • Building functional tools with AI as a non-programmer
  • Practical examples: tools teachers can actually create and use
  • Hands-on: participants prototype a simple tool for their own teaching practice

16:00 – 16:30  |  Closing circle: reflections + grounding  —  Lenka Hámošová

09:30 – 10:00  |  Warm-up  —  Lenka Hámošová

10:00 – 12:30  |  Morning Session: AI Ethics & Epistemic Agency  —  John Dorsch

  • How AI is reshaping thinking, knowing, and reasoning — not just what we produce
  • Epistemic agency: what are we giving up when we outsource reasoning to AI?
  • Practical frameworks for evaluating AI tools critically
  • How to talk about this honestly with students and institutions

12:30 – 13:30  |  Lunch Break

13:30 – 14:30  |  Embodied Closing Session  —  Tereza Stehlíková

  • A continuation of the AI ethics discussion through the lens of embodiment and physical experience
  • Opening another dimension of our relationship to AI — as living, physical human beings, not just minds
  • Multisensory and tactile experience as a counterpoint to a week of digital tools
  • What does epistemic agency mean when we bring the body back into the picture?

14:30 – 15:30  |  Participant Presentations  —  Lenka Hámošová (facilitation)

  • Each participant presents their through-line challenge: what they worked on, what changed, what they’re taking home
  • 5 minutes per participant + brief group response

15:30 – 16:00  |  Collective Feedback & Reflection

  • Open conversation: what worked, what didn’t, what’s next

16:00 – 16:30  |  Diploma Ceremony & Closing  —  Lenka Hámošová & Marcel Kraus

  • Certificate presentation
  • Group closing moment

Instructors

Teaching Team

This course is co-designed by Lenka Hámošová and Marcel Kraus in collaboration with the TAH Impact Academy. It is delivered by an interdisciplinary group of internationally recognized experts in AI and education, each contributing their domain expertise – ranging from creative AI and pedagogy to digital storytelling and ethics.

Lenka Hámošová

Ondřej Hrách

Michaela Liegertová

Tereza Stehlíková

Lukáš Eršil

Martin Richer

John Dorsch

How to register?

Choose your course and follow these simple steps:

  1. Standard participants: Complete this registration form directly.
    Erasmus+ participants: Contact your institution’s Erasmus+ Officer first, then complete this form.
  2. After registering, you’ll receive a confirmation email with preliminary information.
  3. Pay the course fee according to the invoice (sent 8 weeks before the course).
  4. Once payment is confirmed, you’ll receive detailed course materials and instructions.
Register for Winter Course
Register for Summer Course

Do You Have Any Questions?

Go through FAQ and our Terms and Conditions or connect with TAH Impact Academy Coordinator

Veronika Vlachová

academy@tah-centre.org

Lenka Hámošová

Main facilitator of the course

Lenka Hámošová is an interdisciplinary artist, designer, researcher, and educator specializing in human-AI co-creation and the design of creative AI workflows. Her research focuses on how AI can be meaningfully integrated into artistic and design processes, ensuring that human creative agency remains central. She is currently pursuing a PhD at FUD UJEP in Ústí nad Labem, where she explores the design and visualization of creative AI workflows in artistic and design practice.

With over six years of experience in AI-driven creative applications and more than 15 years in the creative industry, Lenka is dedicated to developing innovative methodologies for AI integration in artistic and educational settings. She designs and facilitates workshops, brainstorming tools, and structured methodologies to help artists, designers, and professionals navigate AI’s role in their creative work.

She has worked with organizations such as Google AI Ethics Team, Seznam Zprávy, ČSOB, Kunsthalle Prague, and DOX Contemporary Art Center, bringing AI literacy and critical thinking into creative fields. As a co-founder of TAH – Centre for Innovation in Technology, Arts, and Humanities, the initiator of Creative AI Meet-ups in Prague, and a co-founder of the Uroboros Festival, she actively fosters interdisciplinary dialogue on AI’s role in artistic and design research.

In the course Future Tech & Social Justice: Transdisciplinary Innovation for Responsible Technological Futures, Lenka combines her expertise in AI-generated media, participatory AI methodologies, and speculative design to equip participants with practical tools, critical perspectives, and hands-on experience in human-AI collaboration.

Areas of Expertise:

  • Human-AI co-creation in artistic and design practice
  • Creative AI workflows and methodology development
  • Workshop design and facilitation for AI in creative industries
  • Participatory AI and speculative design methodologies, Transdisciplinary methodologies

Topics in the Course:

  • Facilitation of interdisciplinary dialogue
  • Exploring new pedagogical approaches for AI in creative education
  • Structuring co-creative AI workflows in art and design
  • Developing custom AI brainstorming tools and methodologies
  • Balancing automation and human agency in AI-assisted creativity

LinkedIn | Linktr | Web | Personal Web

Ondřej Hrách

AI audio in education specialist

Ondřej Hrách is an AI educator, musician, and linguist who thrives at the intersection of art, technology, and education. He currently co-leads Aignos, a successful non-profit organization dedicated to spreading AI literacy across Czechia, while maintaining an active artistic practice through his unique glass bottle music project Flaškinet.

With five years of experience as a linguist for conversational AI (incl. the globally successful Alquist team), Ondřej brings practical expertise in AI technologies to his educational work. He has taught around 150 AI workshops, including programs for music educators at art schools; he regularly moderates AI-related events and co-hosts the podcast “Člověk v éře AI” (Human in the AI Era). His organization Aignos has been recognized as a two-time finalist for the Czech AI Awards (2023, 2024).

In the Art-Tech for Higher Education course, Ondřej combines his dual background in AI and music with hands-on AI experience to guide participants in exploring how audio technologies can enhance teaching practices.

Areas of expertise:

  • AI literacy and education
  • Music
  • Conversational AI
  • Transdisciplinary approaches to AI education

Topics in the course:

  • AI audio tools for educational contexts
  • Integration of sound in multisensory learning experiences

LinkedIn

Michaela Liegertová

Educator and AI innovator specialist

Michaela Liegertová is an educator and AI innovator at Jan Evangelista Purkyně University (UJEP), recognized for her activities in the integration of generative AI into academic settings. She currently serves as Vice-Dean for Development and Quality at the Faculty of Science and as AI Ambassador at UJEP. Her unique combination of research expertise and advanced AI literacy offers a distinctive approach to integrating generative AI into education and scientific research.

Michaela holds a Ph.D. in Developmental and Cell Biology from Charles University (2009-2016) and an MSc. in Biology and Chemistry for Education from UJEP (2002-2009). Her achievements include winning first place in the 2024 “Přicházejí z-AI-mavé časy” AI-assisted creative writing contest, where she demonstrated exceptional AI prompting strategies, and receiving the 2023 Rector’s Award from UJEP for exceptional contributions to AI education. She currently leads the “AI Together” project, delivering workshops on integrating generative AI into education and scientific research in biomedicine across Czechia.

Michaela will lead a hands-on workshop on integrating AI tools into teaching and research, leveraging her award-winning expertise in AI-assisted creative writing. Her transdisciplinary approach, combining scientific methodology with AI-driven innovation, bridges STEM and humanities, offering valuable insights into how AI can enhance academic work across disciplines.

Key areas of expertise:

  • Generative AI in education
  • Generative AI in biomedical research
  • AI literacy
  • AI prompting strategies
  • Academic integrity with AI

Course topics:

  • Advanced LLM workflows for research, synthesis, and academic writing
  • Custom GPTs and specialised AI assistants for scientific work
  • Multi-model workflows and analysing complex documents and datasets

Linkedin

Tereza Stehlikova

Czech/British artist, researcher and educator

Dr Tereza Stehlikova (PhD, MA) is a Czech/British artist, researcher and educator. Her practice spans moving image, installation and participatory performance and is driven by cross-disciplinary collaboration. Stehlikova is engaged in artistic research, focused on investigating the role our senses and embodiment play in conveying meaning through artistic practice. She collaborates with scientists, investigating cross-modal interactions and embodied cognition. She is currently writing a book about artistic research and the role of technology for Routledge and is also an editor of cross-disciplinary journal Tangible Territory.

She holds a PhD from the Royal College of Art, London and has been a senior lecturer and a PhD supervisor at University of Westminster as well as at the RCA for many years. Having moved from London to Prague in 2021, she is now the head of visual arts department at Vysoká Škola Kreativní Komunikace, Prague and now also teaches artistic research methods to PhD students at Academy of Performing Arts, Film Academy, as well as to MA students at Academy of Applied Arts.

In the course Art-Tech for Higher Education, her focus lies in exploring embodied meaning-making, including importance of situated, multi-sensory learning, using the body as an instrument of investigation and questioning how technology can remain in our service rather than taking away our agency.

Areas of expertise

  • Sensory perception/embodiment
  • Artistic research
  • Art & science dialogue
  • Embodied and situated learning
  • Collaborative practice

Topics in the course

  • Unique insights that artistic methods can bring
  • Questions of interdisciplinary dialogue
  • Importance of process, the body, imagination
  • How to change our habits by opening up liminal spaces

LinkedIn

Lukáš Eršil

Visual AI specialist for the Art-Tech for Higher Education course

Lukáš Eršil is an AI Graphic Engineer at Sageworx in New York, where he previously served as AI Director, and the founder of AIMOREAL studio, creating AI visuals for companies, cities, and public institutions. An Adobe Firefly Ambassador, he splits his work between teaching AI and producing commercial AI video, bridging cutting-edge generative tools with real-world visual production.

 

He has trained around 10,000 people across the private and public sectors, bringing hands-on, production-tested expertise to his teaching. His work won the Reframing Femininity (Vavortex) and HONOR200 AI open calls, has been exhibited five times in New York, and has been featured in Forbes and on Czech Television.

 

In the course Art-Tech for Higher Education, he guides participants through the current state of the art in generative visual AI, from advanced image generation to building repeatable, automated workflows and AI agents. He offers educators a grounded, practical view of AI video – what is genuinely useful for teaching and what isn’t worth the cost.

Areas of expertise:

  • Generative visual AI (image and video)
  • Automated AI workflows and agents for content creation
  • Commercial AI video production
  • AI training for private and public sectors

 

Topics in the course:

  • State of the art in generative visual AI
  • Building repeatable image-generation pipelines and workflows
  • AI video for educators – what’s useful and what isn’t worth the cost

Linkedin

AIMOREAL

Martin Richter

AI in education specialist

Martin Richter is a researcher and educator focusing on the integration of artificial intelligence in communication and educational contexts. He is currently a PhD student at the Institute of Communication Studies and Journalism at the Faculty of Social Sciences, Charles University, where he also teaches the two-semester course “Artificial Intelligence in Communication.” His work examines how AI technologies are transforming media, journalism, and educational practices.

He is the co-founder of Aignos, a non-profit initiative dedicated to promoting awareness of artificial intelligence through various educational and public engagement activities since 2021. This work has earned recognition as a finalist in the AI Awards Czech Republic 2024 in the Education category. As a lead researcher, he has conducted projects mapping the use of artificial intelligence among both students and faculty members, with particular focus on integrating AI tools into educational workflows.

In the course Art-Tech for Higher Education, he introduces “vibecoding” – building functional tools with AI without writing code – and guides participants in prototyping practical tools they can use directly in their own teaching.

Areas of expertise:

  • AI integration in educational settings
  • Artificial intelligence in communication
  • AI literacy and awareness
  • AI-assisted (no-code) tool building

Topics in the course:

  • Building functional tools with AI as a non-programmer
  • Prototyping practical teaching tools without writing code
  • Balancing technological innovation with academic integrity

LinkedIn | Aignos Web

John Dorsch

AI ethics specialist

Dr. John Dorsch is a researcher in AI ethics and philosophy of cognitive science at the Center for Environmental and Technology Ethics – Prague, Institute of Philosophy of the Czech Academy of Sciences. His research focuses on metacognition and on how AI technologies reshape our metacognitive capacities – the cognitive mechanisms behind fluency, confidence, belief, and justification.

He completed his PhD in the philosophy of cognitive science at the University of Edinburgh and previously worked at the Munich Interactive Intelligence Initiative at LMU Munich. Alongside his theoretical work, he designs and conducts empirical studies on trustworthy AI and technology acceptance, collaborating on interdisciplinary projects supported by Horizon Europe and NATO. An Associate Fellow of the Higher Education Academy, he has taught across cognitive science, epistemology, and technology ethics, and was nominated three consecutive years for Edinburgh’s “Teacher of the Year.”

In the course Art-Tech for Higher Education, he reframes AI ethics around what these tools are doing to our thinking and our students’ thinking. He helps educators evaluate the epistemic trustworthiness of AI tools, recognize what is at stake when reasoning is outsourced, and discuss these questions honestly with students and institutions.

Areas of expertise:

  • AI ethics and philosophy of cognitive science
  • Metacognition and epistemic agency
  • Cognitive consequences of AI use in learning
  • Trustworthy AI and technology acceptance

Topics in the course:

  • Evaluating the epistemic trustworthiness of AI tools
  • What we give up when we outsource reasoning to AI
  • Talking honestly with students and institutions about AI’s effect on thinking

Linkedin