AI ACADEMY

Understand, build and test AI for real-world business use

September 22, 2026 | 09:00 – 18:00

Healthy Longevity Café, Prague

Would you like to learn something practical about artificial intelligence directly from the source? Get your hands on AI and build something right away? Get your hands dirty and feel like you‘ve created something really useful?

Visit our unique AI Academy!

  • The course is in Czech. For English, please contact us directly to organize a training for your team/company.

  • Full-day training (8 hours)
  • Catering included

  • If you bring your own computer or tablet, you will be able to take full advantage of the practical part of the workshop.

Get Your Ticket Now

Registration Fee 6.400,- CZK

Price is without VAT.
Get Your Ticket Now

Program

09:00 - 09:15 | Arrival

09:15 - 12:15 | Introduction to Artificial Intelligence and Practical AI for Voice Processing

Part 1.1 Introduction to AI for Business

  • Overview of typical case studies
  • What do I need to know about AI?
  • Automation of interactions (voicebots, chatbots, omnichannel)
  • Document processing automation (extracting information from documents, email routing, toxicity)
  • Forecast automation, optimization (forecast models recommendations, anomaly detection)
  • How to measure the benefits of AI? What are the typical KPIs?

Part 1.2 Let‘s Really Try Out Business AI | Human Voice

  • Typical case studies – a more detailed view of the human voice processing domain
  • Build your own voicebot (TELMA outbound calls)
    • Beneath the surface: voice to text (STT), text to speech (TTS), dialogue control
  • Create your own persona with text-to-speech (mVoice studio)
    • Beneath the surface: normalization, SSML, Persona, emotions

12:15 - 13:00 | Refreshments

13:00 - 17:30 | Digging Deeper into Business AI and Practical AI for Document Processing

Part 2.1 A Deeper Look at Business AI

  • Machine Learning and Deep Learning for Business AI
  • Data and its key importance
  • Data analysis for input and output
  • Model selection in terms of the need for business KPIs

Part 2.2 Let‘s really try out Business AI | Text

  • Typical case studies – a closer look at the word processing domain – Python notebooks
  • Natural Language Processing (mNLP)
    • Beneath the surface: name entities, intents, document similarity
  • Document processing (mSearch)
    • Beneath the surface: searching the websites
  • Large language models, usage patterns, interfacing with other technologies
    • Practical tools: Gemini, ChatGPT, NotebookLM

Speakers

Jiří Vrobel

Experienced expert and regular speaker at conferences and workshops, he has a talent for explaining AI concepts clearly even to complete newcomers during a first meeting.

Jan Kleindienst

Started his career at IBM Research Center in New Yor. Later led IBM Watson Lab Prague, building it into the largest Watson lab in Europe.
Co-founder of The MAMA AI and Chairman of the Research Council of the Czech Technology Agency (TA CR).

Jan Cuřín

Spent more than 17 years as a Research Scientist and manager at the IBM Watson Lab in Prague.
As CTO of TELMA AI and co-founder of MAMA AI, he is now one of the leading voices in the Czech AI ecosystem.

Martin Čmejrek

At IBM Research team he was working on machine translation and natural language processing at a world-class level. He co-created the Prague Czech-English Dependency Treebank, a linguistic dataset still used by researchers around the world today.
Co-founder MAMA AI and currently leads research at TELMA AI.

Jakub Krchák

More than 20 years at IBM, progressing from Software Engineer to Manager of the Watson R&D Lab. In 2021,  co-founded The MAMA AI and became CEO of TELMA AI. Among other projects, he helped create Adéla, a virtual recruitment center for the Czech Army.

Any questions?
Feel free to reach out at academy@themama.ai.

Venue

Healthy Longevity Café, Opletalova 930/28, Prague

A modern, thoughtfully designed place in the heart of Prague. Metro C · Hlavní nádraží — 2 min by walk.

What participants said about MAMA AI Academy:

The academy was interactive, interesting, suitable even for people who are not extremely tech-savvy.

Data Analytics Consultant

About the theoretical part: it has to be, but it is difficult to present it in a fun and simple way – Jan K. did it perfectly on the first day!

Sales Leader

Fun exercises that show great potential for use across disciplines.

Marketing Specialist
I liked that everything was understandable even for a person without a deep mathematical, computer science or AI background.

Executive Director in Marketing

Both days were great. I admired how you can explain everything in a clear, interesting and witty way. In your presentation, AI – for a layman like me – becomes a really interesting topic and I plan to go through more courses. Thanks a lot!

Education Project Manager

Jupyter notebooks were, in my opinion, great even for people without a deep knowledge of programming.

Data Scientist

I learned a lot of new information, which was interspersed with practical demonstrations. Everything was very clearly explained and the timing was excellent (neither too much nor too little, just enough). Thank you!

Education Project manager