Generative AI for IT decision-makers: architectures, integration, fields of application
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Machine Learning Engineer
1 AI technology in the enterprise context
- Potential of generative AI & technology history
- AI types, data architectures, integration paths
- Company-wide use cases (text, image, automation)
- Disruption of product & service portfolios
2 AI fields of application: Use cases and scenarios
- Generative AI in practice: text, image, speech and data processing
- Automation through AI: from decision support systems to agents
- Generative AI in IT project management, software development, SysOps
- Cross-industry best practices and success stories
3. generative AI: technologies and concepts
- Buy-or-Make: API, Custom GPT, Own GPT
- Retrieval Augmented Generation (RAG)
- LLM selection and evaluation criteria
- Cloud vs. on-premise infrastructures (AWS, Azure, GCP)
- Data pipelines and data management for AI models
- Deep-dive AI hardware: GPUs, TPUs etc.
4. effects on the enterprise architecture
- Requirements for existing IT systems and platforms
- AI workloads in hybrid and cloud-based architectures
- Interaction of data strategy and enterprise architecture
5. governance, law & architecture
- Enterprise architecture and data strategy
- AI management systems according to ISO 42001
- EU-AI-Act, data protection, ethics & bias
- Risk management and compliance processes
6. from strategy to implementation
- Use case prioritization and business cases
- Roles, skills & project organization
- From pilot to scaling: establishing AI as a strategic asset
- DevOps principles for GenAI workflows
- KPI framework for tech & business success
- Roadmap for the scalable introduction of AI
You gain an overview of all areas in your IT architecture that are affected by generative AI.
You will gain an overview of all the important technological concepts and approaches that play a role in the use of generative AI.
You work with a framework to define opportunities, fields of application, risks and measures.
You receive a clear decision-making basis for buy-or-make, technology stack and budget deployment.
You gain impetus for the development of roadmaps and KPI sets for the successful scaling of AI initiatives.
You create a foundation for regulatory security through knowledge of the EU AI Act, ISO 42001 and data protection.
You will benefit from hands-on experience with RAG, enterprise GPTs and cloud infrastructure options.
This training training is conducted in a group of a maximum of 12 participants using the Zoom video conferencing software.
The training provides you with concrete, applicable knowledge - with case studies, measures, frameworks and experiences of the trainers from IT consulting practice.
There is room for your questions - individual support from the trainers is guaranteed.
You can access further materials in your personal learning environment.
CTOs, CIOs, IT executives, enterprise & solution architects and strategic consultants consultants who are responsible for where, when and how generative AI is used in their company. 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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