| Start date: | 19 Feb 2026 | Entry level: | Basic | |
| End date: | 30 Jun 2026 | Subject area: | Artificial Intelligence | |
| Location: | AI:AT & online, self-learning | Topics: | Use AI in Your Workflow | |
| Language: | English & German | Target audience: | Small and Medium sized Enterprises | |
| Price: | Free (for eligible participants) | Organizers: | AI Factory Austria AI:AT |
Discovery Bundle
Your entry point into practical, responsible, and strategic AI adoption
The Discovery Bundle is the ideal starting point for start-ups and SMEs that want to understand how AI can create real value in their organisation—without needing prior technical expertise. As the first step in AI:AT’s acceleration programme, it provides a structured and approachable learning experience that helps teams build confidence, assess their readiness, and uncover concrete opportunities for using AI.
What participants gain
A clear understanding of AI fundamentals:
Get an accessible introduction to essential AI concepts, current tools, and market trends, tailored to non-experts.
Identification of relevant AI use cases:
Explore how AI can solve real business challenges and how to shape use cases that fit your strategic goals.
Technical orientation without the complexity:
Learn the basics of data, systems, and IT infrastructure to evaluate your organisation’s readiness for AI.
Guidance on responsible and compliant AI use:
Understand key legal and ethical topics such as data protection, transparency, and trustworthy AI practices.
Access to Austria’s wider AI ecosystem:
Connect with peers, experts, talent, and partner institutions to accelerate learning and spark new ideas.
Your pathway to the next level of AI maturity:
By the end of the bundle, participants have the knowledge, orientation, and ecosystem connections needed to move confidently towards hands-on experimentation and Proof-of-Concept development.
Who is it for?
The Discovery Bundle is targeted towards small to medium sized enterprises, start-ups and public administration. It is valuable for organisations who do not have AI as their core business and are not yet working with AI day to day, but want to explore the potential it offers in a structured, low-barrier approach.
Certificate of Completion
After completion of all mandatory workshops, self-learning materials a multiple choice test participants will receive their certificate of completion.
Content
AI-Introduction Workshop (in-person, currently in German only):
Discover how Artificial Intelligence (AI) can transform your business in a comprehensive, practice-oriented way. In this workshop, you will learn what generative and agentic AI can really do, which tools there are, and where they can create tangible value in everyday work.
After a concise introduction to the basics, you will apply your knowledge directly: identify specific areas of application in your field of work, assess effort and benefit, and develop realistic approaches for implementing AI in your organisation.
Fundamentals of Trustworthy AI Workshop (online, self-learning):
Artificial Intelligence (AI) must be human-centred and trustworthy. This concept is based on three concrete requirements: AI must be lawful, ethical, and robust.
In this one-hour webinar, you will receive an overview of what constitutes lawful AI and which ethical considerations need to be taken into account.
By the end of the webinar, participants will understand the key requirements arising from the AI Act, data protection law, and copyright law—both when AI is trained and when it is merely used. In addition, the webinar will show how upholding core ethical principles helps organisations keep pace with technological developments in a responsible way.
Technical Introduction to Data and Systems (online, self-learning):
These self-learning materials offer a practical, beginner-friendly overview of the technical foundations needed for AI adoption. Learners gain an understanding of what data is, how different types of data are collected and stored, and why data quality is essential for meaningful AI results. They explore the role of data throughout the AI lifecycle, learn how training, validation, and testing work and how issues such as insufficient or biased data can affect outcomes. The module also introduces the basics of AI-ready systems and infrastructure, explaining in accessible terms how data sources, databases, integration layers, and compute resources come together to support AI applications. By the end, participants can assess their organisation’s data and system readiness and better understand what is needed to move toward AI experimentation.
Join the AI ecosystem (online community):
Join the community to network, exchange ideas and find talent or like minded people who are also tackling AI adoption in their day to day workflows.
Date, time, and location
You have from February 2026 - 30 June 2026 to complete this bundle.
For the workshops the following dates are available:
AI-Introduction Workshop (in-person @AI Factory Austria, currently in German only):
- 19. 02. 2026, 09:00 – 16:00 CET,
- 12. 03. 2026, 09:00 – 16:00 CET,
- 16. 04. 2026, 09:00 – 16:00 CEST,
- 07. 05. 2026, 09:00 – 16:00 CEST,
- 18. 06. 2026, 09:00 – 16:00 CEST,
Legal & Technical learning materials will be provided as self-learning materials only!
Entry level
Basic
Prerequisites
None
Lecturers & Authors
Ann-Sophie Brenk (AI:AT– AI Factory Austria)
Jan Pilsinger (AI:AT– AI Factory Austria)
Michael Löffler (AI:AT– AI Factory Austria)
Simeon Harrison (AI:AT – AI Factory Austria)
Language
English & German
Prices and eligibility
This course is funded by the AI Factory Austria project. Therefore, the course is open and free of charge for participants from SMEs and public administration from EU and/or EuroHPC JU member countries.
Registration
Please register with your official company/institutional email address to prove your affiliation.
You will get an automatic confirmation via email (subject starting with "[Indico] Registration"), please check your Spam/Junk folders.
Following your successful registration, you will receive further information approximately 1 week before each workshop.
Modification, withdrawal & no-show policy
Your registration is binding. Please only register for the workshops if you are really going to attend.
You can update your registration data or withdraw your registration anytime via the link "Manage my registration" which you can find at the bottom of your automatic email confirmation (subject starting with "[Indico] Registration").
No-show policy: If you do not cancel and do not show up at one of the workshops you will be blacklisted and excluded from future workshops.
Organizers
The Discovery Bundle is organized by AI Factory Austria AI:AT.
Acknowledgements
AI Factory Austria AI:AT has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG).
