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Digital Sovereignty in Corporate IT
Identify dependencies, assess risks, and develop effective IT strategies
Online
2 days
German
€ 1.290,-
plus VAT.
€ 1.535,10
incl. VAT.
Booking number
42903
Venue
Online
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4 dates
€ 1.290,-
plus VAT.
€ 1.535,10
incl. VAT.
Booking number
42903
Venue
Online
4 dates
plus VAT.
incl. VAT.
Booking number
Venue
0 Dates
Become a certified
Machine Learning Engineer
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
To the Master Class
In-house training
In-house training just for your employees - exclusive and effective.
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Digital sovereignty is no longer merely a political buzzword, but a concrete technical and strategic issue for companies that use cloud services, AI systems, and modern platforms. In many IT environments, dependencies on vendors, proprietary technologies, or closed data formats are creeping in—often without a conscious decision and with direct implications for security, costs, innovation, and operational freedom.
In this practice-oriented training , you training how sovereignty in digital infrastructures can be assessed, technically classified, and operationally improved. With a focus on cloud, AI, and open-source architectures. The focus is on specific risks, architectural patterns, governance approaches, and technical measures that organizations can use to reduce their dependencies while simultaneously making productive use of modern platforms.
Contents
- The Fundamentals of Digital Sovereignty
- Concept, dimensions, and strategic significance.
- Sovereignty vs. Self-Sufficiency.
- Risks Associated with Modern Cloud and Platform Dependencies.
- Practical examples and current developments.
- Data sovereignty and regulatory requirements
- Data residency, data portability, and open formats.
- The Cloud Act, Schrems II, and the regulatory framework.
- Encryption, key management, and privacy-enhancing technologies.
- Gaia-X and European approaches.
- Cloud Sovereignty and Architectural Patterns
- Hyperscalers, EU tenders, and legal classification.
- Lock-in risks and strategies for reducing dependencies.
- Hybrid and multi-cloud approaches.
- Kubernetes, open standards, and sovereign platform architectures.
- AI Sovereignty and Open Source
- Proprietary vs. open AI models.
- Risks and Opportunities of Modern AI Stacks.
- Open Source as a Factor in Sovereignty.
- Community, licensing, and governance aspects.
- Security, Governance, and Compliance
- The relationship between security and digital sovereignty.
- SBOMs, transparency, and auditability.
- Governance models and organizational implementation.
- Risk and Cost Assessment.
- Effective solutions and practical implementation
- Comprehensive solutions for key IT areas.
- Architectural patterns for greater independence.
- GitOps, IaC, and open APIs.
- Roadmap for phased implementation within the company.
Your benefit
- You understand the technical, organizational, and regulatory aspects of digital sovereignty.
- You will learn to systematically assess risks and dependencies in cloud, AI, and platform architectures.
- You can identify lock-in risks and mitigate them through appropriate architectural decisions.
- You'll learn specific best practices for effective cloud, AI, and open-source strategies.
- You will develop a realistic vision for increasing your company's digital capabilities.
trainer
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Methods
- Professional insights and architectural analyses
- Practical case studies and group work
- Discussions and breakout sessions
- Evaluation of real-world platform and cloud scenarios
- Live demos and hands-on examples
Final examination
Recommended for
- IT architects and cloud engineers
- Security and DevSecOps teams
- IT Directors and Digital Transformation Leaders
- Platform and Infrastructure Teams
- Governance, Compliance, and Risk Officers
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