- Veröffentlichung:
04.05.2026 - Lesezeit: 6 Minuten
AI Training & AI Literacy – Targeted development of digital skills for companies
Industry: Defense | Period: 1 month | Team size: 2 consultants
In the age of artificial intelligence (AI) and digital platforms, targeted AI training is essential to make companies and organizations fit for the future. AI, cloud, data and generative models offer enormous opportunities – but without practical learning, understanding and responsible use, the potential remains untapped. Regulated and complexly structured organizations in particular face special challenges: Low initial competence, strict guidelines and skepticism regarding the added value of artificial intelligence require a tailor-made training concept. Our approach shows how modern AI training with interactive methods, realistic use cases and learning-by-doing is convincing and sustainably strengthens companies and organizations for the working world of tomorrow. At the same time, our training enables you to meet the obligations of the EU AI Regulation, which stipulates that all companies must undergo training in the compliant use of AI.

Challenge: AI training in a regulated association environment - stumbling blocks and opportunities
- Highly regulated environment: Complex decision-making architectures and limited scope make it difficult to implement AI services quickly.
- Low level of digital and AI skills: Fundamental uncertainty about cloud-based tools, data, machine learning and the use of artificial intelligence.
- Skepticism about the added value of AI: A lack of practical understanding and unclear benefits reduce the motivation to train and use generative models.
- Need for comprehensible knowledge transfer: Training must be designed to be practical, low-threshold and directly applicable in order to have an impact on managers and employees.
Success Journey: Three steps to effective AI training
01
The training concept is individually designed - for maximum benefit and optimal acceptance in companies or organizations.
02
With exercises and practical examples, learning success is achieved quickly and the inhibition threshold for using generative intelligence is lowered.
03
The company is ready for data-based innovation and can systematically develop AI.
Impact At Launch: AI training - immediate skills gain and clear potential benefits
- Increased understanding of LLM and AI functionality: Leadership and participants understand the possibilities and limitations of AI, machine learning and generative language models.
- Increased digital self-efficacy: Digital self-confidence is growing, especially in the management team - AI is understood as a tool and the scope for action in data-based services is more clearly defined.
- Specifically identified use cases: The first directly usable use cases for AI (e.g. in communication, data management, knowledge management or process digitization) have been identified.
- Greater awareness of data governance and security: Participants understand the requirements for data protection, cloud-based data integration and the necessary framework conditions for the use of artificial intelligence.
- Validated roadmap for the AI solution: The training creates a sound basis for further measures and the implementation of company-wide AI solutions - specifically also for Ventum AI Services.
Summary: AI training - your lever for digital transformation in the company
Practice-oriented AI training creates value: In regulated and complex organizations, interactive, tailor-made concepts succeed in sustainably increasing digital skills, understanding generative AI and developing concrete use cases. Ventum Consulting’s EU AI Act-compliant AI training forms the basis for the efficient use of cloud-based data, data governance and machine learning – and makes companies fit for innovation and competitiveness. The key: comprehensible content, real use cases and the enablement to use artificial intelligence safely and responsibly.
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- Experience: Over 20 years of experience in transformation, digitalization & skills development in companies
- Practice-oriented: Direct application with use cases and real scenarios from your organization.
- Strategic: Development of AI, data and digital skills for managers and employees - tailored to regulated and complex organizations.
- Security: focus on data governance, data protection and responsible use of AI
- Added value: Initial roadmaps, visible benefits and motivation for systematic AI integration.




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