AI Act Engineering
From requirements to code

Develop a step-by-step understanding of which engineering practices and tools are suitable for complying with the AI Act.

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Description

Participants will recognise that many AI Act requirements can be implemented today using existing open-source tools, and understand that established engineering practices naturally support these requirements. They will also gain practical knowledge of how to select and integrate compliance components, as well as developing an awareness of the gaps that remain in AI standards and engineering practices.

Learning objectives

  • You will be able to break down a specific AI Act requirement into its technical subcomponents (with a focus on high-risk AI).
  • You will understand how proven engineering practices already cover essential parts of the AI Act requirements.
  • You will also be able to identify practical steps for integrating AI Act requirements into development workflows.

Target audience

This learning path is aimed at individuals from small and medium-sized enterprises (SMEs), start-ups and public institutions in Bavaria, in particular:

  • People in technical roles who implement legal requirements.
  • Product and project managers responsible for compliance.
  • Anyone responsible for the quality, conformity and safety of AI.

Prerequisites

Basic knowledge of machine learning and software development is helpful but not required.

Trainers

Akhil Deo , Senior Regulatory Expert, appliedAI Institute for Europe, and Kristof Schröder, Senior Research Engineer, appliedAI Institute for Europe.

Many thanks to the community partners of the Bavarian AI Innovation Accelerator for their support in communicating and disseminating the project offerings: BIHK - Bayerischer Industrie- und Handelskammertag e.V., vbw – Vereinigung der Bayerischen Wirtschaft e. V., Bayern Innovativ GmbH, UnternehmerTUM GmbH, Munich Innovation Ecosystem GmbH, fortiss GmbH, German Mittelstand e.V., BAIOSPHERE.

This training is offered as part of the Bavarian AI Act Accelerator. The project is funded by the Bavarian State Ministry of Digital Affairs. Details: https://innovationsbeschleuniger.bayern/