Practice-Oriented AI Competences for the Manufactoring Industry
What will I gain from this course?
Start: 29 May 2026 (kick-off), additional course dates
Application deadline: 30 April 2026, application
Duration: 9 weeks
Completion:
- Certificate from TU Graz (upon successful completion of the examination)
- Confirmation of attendance (without examination)
ETCS credit points: 5
Language of instruction: English or German
Participation fee: EUR 4.500 (VAT-free) including course materials and break drinks
Locations: TU Graz, online
Number of participations: max. 20
What will I gain from this course?
The university course Cognitive Industry Engineering equips you with hands-on expertise to drive strategic decisions, implement cutting-edge technologies, and ensure regulatory compliance.
The course is structured into three modules:
- Module I: Technical Fundamentals
Understanding cognitive systems, selecting embedded, edge, and cloud platforms, sensors, and industrial communication standards (e.g., OPC UA, MQTT). - Module II: Cognitive Data Processing
Analysing industrial data using machine learning, deep learning, and computer vision for forecasting, quality assurance, and optimisation. - Module III: Sustainable System Design
Developing safe, sustainable, and compliant AI systems with consideration of the EU AI Act, interoperability, and modern distributed architectures.
Curriculum (German only)
- Identify high-impact AI use cases faster
- Make smarter investment decisions with strong technological expertise
- Embed digital skills across your organisation for lasting impact
- Boost the success of your digitalisation and automation initiatives
- Empower your employees to integrate technology, data, and strategy
Plus:
- Apply your learning directly to your own business challenges
- Build the required competencies in line with the EU AI Act (Article 4)
- Receive a prestigious certificate from TU Graz
Who is this course designed for?
This course is ideal for professionals and managers in the manufacturing sector who are responsible for—or aiming to take responsibility for—digitalisation, automation, or AI-driven systems:
- Engineers and technicians (production, automation, IT/OT)
- Project managers and system architects
- Software developers and data scientists in industrial settings
- Product managers and R&D specialists
- Technical leaders and decision-makers in Industry 4.0, digitalisation, and AI
Who can participate?
- Completed technical education (e.g., HTL diploma) or an equivalent qualification with relevant professional experience
- Basic programming experience
Additionally:
Certain advanced modules may recommend specific prior knowledge (e.g., networking, Python, or statistics).
"The Cognitive Industry Engineering course is specifically designed for technical specialists and managers in industrial companies who want not only to understand cognitive technologies, but to apply them effectively under real production conditions.
Participants learn how to strategically plan industrial AI solutions, evaluate them on a sound basis, and implement them in a way that delivers measurable value and creates a sustainable competitive advantage within their own organisation."
How can I participate?
Please submit your completed application form (available soon) by email (lifelong.learning@tugraz.at) or post to:
TU Graz Life Long Learning
Attn: Dr. Helmut Aschbacher
Stremayrgasse 16, 8010 Graz, Austria
Discounts
Discount available for Pro2Future partners when 4 or more participants from the same organisation enrol.
Funding Opportunities
SFG: Weiterbilden mit Weitblick
State of Upper Austria: Innovative Skills für KMU
AMS: Qualifizierungsförderung für Beschäftigte
IQV Oberösterreich: Förderung von Weiterbildungskosten
Contact
Helmut ASCHBACHER
Dr.
TU Graz Life Long Learning
Phone: +43 316 873 4943
helmut.aschbacher@tugraz.at
What does the course involve?
- Blended Learning: combines in-person sessions, self-paced study, and practical application
- Expert-led talks and interactive workshops
- Hands-on exercises with live coding demonstrations
- Exploration of real industrial case studies
- A transfer project tailored to your own organisation
- Digital platforms supporting collaboration between instructors and participants
- Bernhard ANZENGRUBER-TÁNASE, Pro2Future
- Philipp EISELE, Pro2Future
- Ouijdane GUIZA, Pro2Future
- Michael HASLGRÜBLER, Pro2Future
- Jan HOLZWEBER, Pro2Future
- Markus JÄGER, Pro2Future
- Amer KAJMAKOVIC, Pro2Future
- Belgin MUTLU, Pro2Future
- Jenny SCHLAGER, Riverside Change
- Michael SIEGL, Pro2Future
- Josef SUSCHNIGG, Pro2Future
- Anita THALLER, IFZ
- Matej, VUKOVIC, Pro2Future
Lead of the Course
Markus JÄGER
Dr. techn.
Pro2Future
markus.jaeger@pro2future.at
Marcel BAUNACH
Univ.-Prof. Dipl.-Inf. Univ. Dr.rer.nat.
Institute of Technical Informatics, TU Graz
