Description
This training enables participants to design and build specialized assistant agents, going beyond basic use cases by orchestrating agentic workflows that address specific business needs. It aims to provide the keys to move from a “demo” agent to a structured, controllable, and truly operational solution.
Objectives
- Understand the principles of complex AI agents
- Identify relevant use cases related to energy sector challenges
- Get hands-on with the associated tools and architectures
Program
- Orchestrate a workflow by defining a sequence of execution between multiple autonomous agents
- Agent architecture (objectives, tools, control, quality)
- Choose the appropriate level of autonomy based on the need
- Work on exercises based on energy-related use cases
- Design and deploy customized assistant agents aligned with business requirements
- Extend agent capabilities through the integration of external tools
