HammerHAI’s On-Demand Training delivers customized, practical AI training that gives companies and associations exactly the skills they need, delivered how, where, and when they need it.

Description
HammerHAI offers a large set of training on a regular basis. Sometimes you might not find the right type of training in our portfolio or want to offer it as part of curricula. If you have a large number of trainees (we can also try to match you with other stakeholders), we might be able to offer some trainings on demand (also to enhance other curricula).
These are the training types we actively promote and can reliably deliver:
- AI Fundamentals for Industry: Practical introductions designed for engineers, operators, and decision-makers
- Machine Learning for Manufacturing & Engineering: From data preparation to model deployment
- High-Performance Computing (HPC) for AI: Efficient model training, scaling, and performance optimization
- Applied Industry Use Cases: Predictive maintenance, quality analytics, anomaly detection, and process optimization
- Responsible & Trustworthy AI: Foundations of reliable, transparent, and safe AI practices
- Tool and Platform Training: Hands-on training for HammerHAI services and partner tools
Target users
- Companies focused on AI in manufacturing, engineering, and related industries
- Industry associations supporting digital transformation among their members
- Research or innovation teams/projects collaborating with industry
- Companies with trainees as part of public vocational education
Applications
This service is ideal for organizations that need practical AI skills that can be applied immediately, such as:
- Upskilling teams involved in innovation, automation, or research collaborations
- Supporting digital transformation programs across member companies
How to get access
Please send a brief note explaining your motivation to use this service to access@hammerhai.eu
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Funding
- Please contact us regarding funding opportunities, service conditions, and any applicable fees.








