Course

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

In this course, you will become familiar with the various fields of application and architectures of generative AI. You will also gain an understanding of the challenges associated with designing, implementing and operating such systems.
Duration 1 day
Price 900.–
Course documents Digital courseware

Course facts

Key Learnings
  • 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
Content

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
Methodology & didactics
  • Interactive theory units
  • Case studies and practical projects
  • Group work and discussions
  • Peer-to-peer exchange
Target audience

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.

Requirements

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

Certification

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

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Choose your date

6
Oct
2025
Zürich
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
6
Oct
2025
Berne
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
6
Oct
2025
Basel
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
4
Mar
2026
Zürich
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
4
Mar
2026
Berne
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
4
Mar
2026
Basel
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
1
Jul
2026
Zürich
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
1
Jul
2026
Berne
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
1
Jul
2026
Basel
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
5
Nov
2026
Zürich
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
5
Nov
2026
Berne
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
5
Nov
2026
Basel
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.
Next date
6
Oct
2025
Zürich
German
Timetable
CHF 900.-
exkl. 8.1% Mwst.
CHF 900.-
exkl. 8.1% Mwst.

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