GenAI and IT Architecture: Strategies and Challenges («GENITA»)

• Gaining an overview of existing GenAI technologies
• Understanding the application possibilities of GenAI
• Acquiring expertise in Retrieval-Augmented Generation (RAG)
• Learning about the holistic IT architecture for GenAI
• Building practical knowledge in platform and system architecture

This course provides a comprehensive overview of generative AI technologies and their potential applications, covering everything from design to implementation and operation. Retrieval-Augmented Generation (RAG) is discussed in particular detail.

1 Organisational view of Generative AI

• Identify, evaluate and prioritise Gen AI use cases
• Understand risks and take countermeasures

2 Generative AI technologies and possible applications

• Overview of GenAI technologies
• Overview of possible applications of language models: RAG, text-to-query, agents, computer-use approach, etc.
• Overview of possible applications of multi-modal models: Image generation, text-to-speech, avatars, etc.

3 IT Architecture for GenAI

• Challenges: Dealing with false positives, false negatives and hallucinations
• Holistic RAG architecture & LLMOps
• Agentic AI architectures

4 Retrieval-Augmented Generation

• Overview of document processing
• Evaluation of RAG systems
• Optimisation options
• Security of RAG systems

5 Platform and system architecture

• Comparison of SaaS versus PaaS
• Performance considerations
• Security and compliance

• Interactive theory units
• Case studies and practical projects
• Group work and discussions
• Peer-to-peer exchange

This course is aimed at software engineers, IT architects (e.g. software architects and enterprise architects), AI developers and ML engineers, technical project managers, CTOs, CIOs, CDOs and product owners.

A basic knowledge of IT architecture and software development is recommended. Experience with AI technologies or cloud platforms is an advantage but not essential.

This course prepares participants for the practical application of GenAI technologies within a company setting. Certification is not currently planned.