Diploma in GNNs for Flows, Energy and Traffic
About us Diploma in GNNs for Flows, Energy and Traffic
The Diploma in GNNs for Flows, Energy, and Traffic explores the application of Graph Neural Networks (GNNs) to model and analyze complex systems in key sectors. It focuses on the use of GNNs to optimize the analysis of data flows, resource management in the energy sector, and traffic analysis. machine learning techniques and the use of simulations to validate predictive models are included.
The program provides tools for implementing GNNs in real-world projects, with a practical focus on developing solutions for flow prediction, energy network optimization, and intelligent traffic management. The application of advanced data visualization and analysis techniques is sought for strategic decision-making in the sector. Target keywords (natural in the text): Graph Neural Networks (GNNs), data flows, energy, traffic, machine learning, simulations, optimization, prediction, intelligent traffic management.
Diploma in GNNs for Flows, Energy and Traffic
- Format:
- Duration:
- Hours: 900 H
- Language:
- Credits:
- Registration date: 24-08-2026
- Strat date: 04-10-2026
- Available places: 5
1,699 $
Competencies and results
What you will learn
Who this program is for:
Diploma in GNNs for Flows, Energy and Traffic
9.9 Fundamentals of GNNs: Architectures and Principles
9.9 Introduction to Rotating Systems: Propellers, Rotors, Turbines
9.3 Applications of GNNs in Flow, Energy, and Traffic
9.4 Data Representation for GNNs: Graphs and Nodes
9.5 Tools and Libraries for GNN Development
9.6 Introduction to Flow Modeling in Rotating Systems
9.7 Energy and Performance in Rotating Systems: Basic Concepts
9.8 Traffic and Optimization in Rotating Systems
9.9 Case Studies: Introductory Examples
9.90 Introduction to Optimizing GNN Models
9.90
Capstone-type projects
Admissions, fees and scholarships
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