Autonomous Agents and Decision Support

General objective of the training: Upon completion of the training, participants will be able to design and implement autonomous intelligent agents while mastering optimization approaches and decision-making principles in dynamic environments. Modality: All modalities (in-person, virtual classroom, and hybrid) are possible. Possible locations: Beneficiary's premises or Ascent Formation premises, in metropolitan France and the DROM-COM. Maximum number of participants: 20 Targeted SAME level: Application (A) Targeted skills - Identify AI solutions suitable for decision-making in complex environments. - Design intelligent agents capable of interacting with their environment. - Apply optimization techniques (constraint programming, simulated annealing). - Implement autonomy functions for robotic systems.

• Understand AI solutions dedicated to decision-making and their applications.
• Design intelligent agents capable of dynamically interacting with their environment.
• Apply optimization techniques in complex contexts.
• Master the principles of autonomy in robotic systems.