A hands-on online training on using artificial intelligence for image search will be jointly organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) on 10 June 2026.

This training offers a deeper understanding of how and why AI systems make decisions, and how they can c...

A practice-oriented webinar on how RAG (Retrieval-Augmented Generation) works, what agentic search is, different retrieval strategies, and how to choose tools that align with your business goals will be organized by AI Factory Austria AI:AT on 20 May 2026.

Many enterprises have started integra...

A hybrid in-depth introduction to tinyML, the field of deploying machine learning (ML) models on devices like microcontrollers and sensors, will be organized by the AI Factory Austria AI:AT on 13 May 2026.

This tutorial guides embedded developers through the full pipeline of developing effic...

A hands-on online learning program focused on automating the conversion of incoming emails into structured tasks, tickets, and workflow actions across business systems will be organized by the AI Factory Austria AI:AT on 30 April 2026.

This use case workshop is part of the AI:AT's Playground B...

An online, hands-on training on Artificial Intelligence (AI) aimed at understanding how and why these systems make decisions will be organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) on 24 April 2026.

This training builds on a previous webinar on high-level Intro...

The Playground Bundle is a hands-on learning program for organizations looking to move from AI concepts to real, working automation and AI-powered workflows – without heavy coding. Although the course, organized by the AI Factory Austria AI:AT, started in February, you can join the workshops and c...

The webinar on scaling work from laptop to supercomputer will be organized by AI Factory Austria AI:AT and Austrian Scientific Computing (ASC) on 17 April 2026.

As machine learning (ML) models grow more complex and datasets expand beyond what a single machine can handle, data scientists and...