iA Training · Expert Level
Advanced AI training to structure your assistants
You already have regular uses for the system and want to make them more reusable. This course explores preparing instructions, organizing knowledge, and conducting the necessary tests before sharing an assistant with a team.
Let's discuss your project.
This training teaches you how to deploy a complete AI environment: projects, knowledge bases, skills, agents and connectors, linked together to automate your processes in depth.
At the expert level, we're no longer talking about "asking a good question." We're talking about architecture: what projects, what knowledge, what agents, connected to what tools, so that entire tasks can be completed almost without intervention. This is where AI truly takes on a new dimension within a company.
What an expert-level organization knows how to do
It no longer just relies on occasional assistants: it runs an environment where projects, skills and agents share a common knowledge base and trigger automatic actions on its business tools.
Linking AI to its tools (connectors, MCP, API) so that it acts on real data - CRM, messaging, documents, spreadsheets - rather than remaining an isolated chat in a tab.
Without this architectural upgrade, AI remains an individual gain that doesn't spread. With a structured environment, it becomes a sustainable automation layer, adopted and evolved by the entire team.
Our program
Six modules, from AI architecture to governance.
From individual use to a corporate environment
Map your processes, identify those that deserve AI automation, and define the target architecture (projects, knowledge, agents).
Shared projects and knowledge bases
Structure projects and a knowledge base that are reliable and reusable by the whole team, so that AI is based on your actual procedures and not on generalities.
Skills and business agents
Build Skills and agents dedicated to defined tasks, and make them communicate within the environment.
Build your agents and skills →Connecting your tools (connectors, MCP, API)
Connect AI to your business software so that it can read and act on your real data, securely.
Automate from end to end
To orchestrate multiple steps and agents, to set triggers, to obtain chains of actions that run with simple human control.
Governing and maintaining over time
Who updates the environment, how to maintain control (human-in-the-loop), avoid pitfalls and technical debt. The boundary with a true AI development project.
iA Development and Deployment →Who is the expert level iA training designed for?
Teams already trained in AI who want to industrialize their uses.
The iA representatives, IT directors and organizational leaders who structure the deployment.
Companies with repetitive processes ripe for deep automation.
Duration and format
Two days, in a workshop on your real ecosystem.
In-house, face-to-face or remote, up to 8 people per session - condensed format for the architecture workshop.
Funding
A support plan can be considered by your OPCOeloRezo is Qualiopi certified for training activities, based on its criteria, available budgets, and its agreement. The program and quote are provided upon request.
We support you with the agreement, the program and the mandatory Qualiopi monitoring.
Exercise in building an assistant
Choose a common task and an authorized corpus. Describe the expected responses, limitations, and cases where the assistant should request clarification. Prepare several test cases and compare the results before deploying the feature.
Define your advanced pathFrequently asked questions
What is the "Expert Level AI" training offered by eloRezo?
Who is the expert level for?
What is meant by a complete AI environment?
What are the connectors and the MCP covered in the training?
How long does the "Expert Level AI" training course at eloRezo last?
Is this training eligible for funding by an OPCO?
Where does training end and where does an AI development project begin?
Who leads the "Expert-level AI" training at eloRezo?
Deploy expert-level AI in your company
15 minutes to study your project and build the roadmap for your iA deployment.
Let's talk about it →