The HCAIM (Human-Centered AI Master) programme’s second module focuses on the second phase of the MLOps development cycle: Deployment. This second module follows the first Module A – Modelling. This module enhances the complexity of AI technology by moving towards (the use of) neural networks and deep learning. The module focuses on making the deployment of AI solutions more transparent in order to identify and mitigate the risks associated. 

The Practical Focus lesson plan on Organisational AI combines lectures, tutorials, and practical sessions. Initially, the course centers on MLOps and the ML-Ops lifecycle, including a lecture and tutorial on ML-Ops and a lecture and practical session on the ML-Ops lifecycle. It then progresses to the Deployment of AI, focusing specifically on data architecture and Hadoop-based technologies through a tutorial, interactive session, and practical exercises. Finally, the course addresses the quality of development and deployment with a lecture on Continuous Integration/Continuous Deployment (CI/CD).

The module is designed to provide students with the necessary skills to evaluate correctly the direction of AI development and its future impacts on society and individuals. For more information, students can visit the HCAIM consortium’s homepage.