Generative AI for IT decision-makers and enterprise architects
Architectures, integration, fields of application - what AI means for corporate IT
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Machine Learning Engineer
1. Generative AI in the enterprise context
- Integrating generative AI into corporate IT
- Differentiation from traditional AI and machine learning
- Technological maturity and market overview
- Typical expectations, misunderstandings, and limitations
- Impact on IT organizations and roles
2. Technology and architectural principles
- How large language models work
- Models, training approaches, and inference
- Reference architectures for GenAI systems
- API-based use versus proprietary models
- Overview of RAG approaches and enterprise GPTs
3. Platforms, Infrastructure & Integration
- Cloud platforms and managed services
- On-premise and hybrid architectures
- Requirements for data storage and data pipelines
- Integration into existing system landscapes
- Cost models, scaling, and performance
4. Areas of application and use case evaluation
- Typical GenAI use cases in corporate IT
- Decision support, knowledge management, automation
- Assessment of benefits, risks, and complexity
- buy-or-make decisions
- Prioritization and roadmap development
5. Governance, security, and compliance
- Data protection and information security
- Risks such as hallucinations, data leaks, and bias
- Governance models for GenAI
- Requirements from the EU AI Act and regulatory environment
- Responsibilities and control mechanisms
6. from strategy to implementation
- From proof of concept to productive solution
- Roles, skills, and organizational requirements
- Operation, monitoring, and further development
- Success factors from practice
- Derivation of an initial proprietary AI roadmap
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
You will develop a solid technical understanding of generative AI in an enterprise environment without having to develop it yourself.
You will receive clear decision-making criteria for architecture, platform, and infrastructure issues.
You can realistically evaluate, prioritize, and strategically classify GenAI initiatives.
You identify risks early on and know how to address governance, security, and compliance issues.
You will take away concrete ideas and frameworks for introducing AI into your organization in a structured manner.
This training training is conducted in a group of a maximum of 12 participants using the Zoom video conferencing software.
The training you training concrete, applicable knowledge—with case studies, measures, and experiences from trainers practical IT consulting experience.
You create and reflect on solutions for real-life scenarios and can put your own cases up for discussion.
You will be provided with structured frameworks for evaluating and planning AI implementations.
There is room for your questions - individual support from the trainers is guaranteed.
Once you have registered, you will find all the information, downloads and extra services for this training course in your online learning environment.
CTOs, CIOs, IT executives, enterprise and solution architects, and strategicconsultants who are responsible for where, when, and how generative AI is used in their companies. Participants should have a good understanding of IT architectures and project management. In-depth technical or data science knowledge is not required.
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