Smart City Artificial Intelligence Platform, for data driven operation and plan via Snap4City

To understand the aspects of data driven Smart City for operation and plan management.

The aim is monitoring, early warning, but also degongestion, decarbonization, accessibility, reduction of critical conditions, what-if analysis, and decision support systems.

The course will allow the student to use the platform and solution, to create data ingestion flows from IoT and gateways and other sources, to create dashboards for monitoring, and also to customize the solution, and install it on their premise.

Training programme:

1) overview for users, developers and researchers
2) dashboard production, from simple to business intelligence tools
3) process logic, server side business logic, node-red, ETL/ELT (JavaScript). Server Side Business Logic.
4) data analytics, usage of AI, XAI, clustering, Deep Learning, for predictions, early warning, optimization (Python when needed to add new features). usage of solutions and possibilities.
5) data ingestion and interoperability (Node-RED), smart data model, data spaces
6) platform architecture, modularity, scalability, reporting, etc.
7) exploiting Smart City API, federation of smart cities, SDK
8) development life cycle methodology and guideline, client side business logic for business intelligence tools.

More details on https://www.snap4city.org/drupal/node/944

Requirements to join the course:
Knowledge of the basic concepts of smart city, small knowledge of programming. For deep customisation of the platform and for researchers interested to develop AI tools and customize the platform additional courses can be provided.

Paolo Nesi, P. Bellini, N. Mitolo, G. Pantaleo

All online. If requested, specific instances associated with major events can be provided.

From June to July (for example 4 hours per week), it can be repeated totally or partially on demand. All online