WE_IA_AGENT_BUS

AI Agents Training - Master Agentic AI in 0.5 Day

Become an "Agent Manager" in half a day. The era of simple chatbots is over. Where generative AI merely responds, Agentic AI perceives, reasons, and autonomously executes complex tasks. In 3.5 intensive hours (60% theory / 40% practice), go from user to architect of autonomous solutions. What you will master: The technological breakthrough (understand the fundamental difference between an Assistant who knows and an Agent who acts), cognitive architecture (learn to build the "brain" of an agent via the Perception → Reasoning → Action loop and the use of external tools), real practice (design and deploy an agent on a concrete use case), industrial reliability (master the strategies to avoid hallucinations and infinite loops to secure your processes).

WEnvision
✓ Official training WEnvisionLevel Intermediate⏱️ 0.5 day (3.5h)

What you will learn

  • Distinguish Generative AI from Agentic AI, from automated to autonomous.
  • Distinguish AI Assistants from AI Agents and understand their respective capabilities.
  • Master the "Perception, Reasoning, Action" cycle for designing AI agents.
  • Identify the maturity levels of Agentic AI and their concrete applications.
  • Structure an agentic use case, from use case definition to deployment and monitoring.
  • Anticipate the benefits, risks, and key success factors related to deploying AI agents in the enterprise.

Prerequisites

  • Knowledge of the fundamental concepts of Artificial Intelligence and Machine Learning is a plus.
  • Having the equivalent level of content provided by an "Introduction to Generative AI" type training.
  • A computer with internet access.

Target audience

  • Business & IT managers, Digital Directors, Data Directors and Product Managers looking to steer their projects and business towards AI and/or manage native agentic products, Professionals with initial exposure to AI or machine learning who want to master the concepts of agentic AI

Training Program

3 modules to master the fundamentals

Topics covered
  • →From automated AI to autonomous AI: what really changes
  • →Difference between conversational assistants and autonomous AI agents
  • →Key principles of agentic AI: perception, reasoning, action
  • →Maturity levels of agentic AI in organizations
  • →Market status and current dynamics
  • →Impacts on operational models, roles, and governance
Topics covered
  • →Identifying a domain where agentic AI provides a competitive advantage (business, support functions, operations)
  • →Methodology for selecting and prioritizing high-impact use cases
  • →How to define a level of autonomy and control
  • →Design framework for an AI agent (objectives, data, tools, scenarios)
  • →Expected benefits: performance, quality, deadlines, resilience
  • →Risks, limitations, and conditions for success (security, compliance, acceptance)
  • →Overview of market solutions and selection criteria
Topics covered
  • →Choosing a real use case from the enterprise context
  • →Formalizing the agent's logic and its action loop
  • →Designing autonomously managed scenarios
  • →Visualizing the agent's operation and its interactions
  • →Evaluating results: value created, observed limitations, improvement levers
  • →Conditions for scaling and integration into existing systems
Activities

Hands-on workshop: design and manage an AI agent on a concrete use case

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Upcoming sessions

May 27, 2026
Distanciel • Français
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August 24, 2026
Distanciel • Français
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November 16, 2026
Distanciel • Français
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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

Knowledge of the fundamental concepts of Artificial Intelligence and Machine Learning is a plus. It is recommended to have the equivalent level of an "Introduction to Generative AI" training. A computer with internet access is required.
This training is designed for business and IT managers, Digital Directors, Data Directors and Product Managers looking to steer their projects towards agentic AI, as well as professionals with initial exposure to AI or machine learning.
An AI assistant is reactive: it answers questions. An AI agent is autonomous: it perceives, reasons, and independently executes complex tasks via the Perception, Reasoning, Action loop. The training covers this fundamental distinction in detail.
Yes, the training is composed of 60% theory and 40% practice. The last module of 1h30 is a complete workshop where you design and manage an AI agent on a concrete use case from the enterprise context.
The AI Fundamentals training covers the global AI ecosystem (ML, Deep Learning, GenAI, ethics). This AI Agents Master Class is level 200 and focuses specifically on agentic AI: cognitive architecture of agents, maturity levels, deployment framework, and industrial reliability.
Our training organizations SFEIR SAS and SFEIR-Est are Qualiopi certified for training activities, which allows you to request funding from your OPCO. Funding approval remains at your OPCO's discretion. Contact us for a quote.

395€ excl. VAT

per learner