🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
WE_N1_IA

AI Fundamentals Training - Discover AI in 1 Day

This "AI Fundamentals" Master Class offers a structured immersion into the world of Artificial Intelligence. Far from the hype, this training aims to provide a clear and pragmatic understanding of current technologies, from historical concepts to the recent revolutions of Generative AI (GenAI). Through concrete examples and situational exercises, participants will learn to distinguish the different types of AI, identify value drivers for the business (notably via the "Augmented Collaborator" concept), and master the crucial challenges of responsibility (AI Act, ethics, bias). Finally, the course integrates an essential dimension of digital sobriety, analyzing the environmental impact of AI to encourage sustainable innovation.

WEnvision
✓ Official training WEnvisionLevel Fundamentals⏱️ 1 day (7h)

What you will learn

  • Master the fundamentals and vocabulary of AI (Machine Learning, Deep Learning, GenAI, LLM, Prompt, RAG) and understand the structure of the current ecosystem.
  • Identify the potential of AI in business by distinguishing traditional use cases from new generative opportunities, and understanding the strategic role of a GenAI platform.
  • Adopt a responsible posture towards ethical and regulatory risks by understanding the requirements of the European AI Act and the mechanisms of algorithmic bias.
  • Integrate digital sobriety issues into the use of technologies by knowing the environmental impact of the AI life cycle.

Prerequisites

  • No prior technical skills are required (neither in development nor in data science). A curiosity for digital issues and innovation is recommended.
  • A laptop with an internet connection for demonstrations and access to online resources.
  • Access to internal collaboration tools (Teams/Google Meet) if the session is held remotely.

Target audience

  • All employees, regardless of their profession or hierarchical level (technical, functional, support, managers)

Training Program

6 modules to master the fundamentals

Topics covered
  • →Welcome and presentation of objectives.
  • →Round table: expectations and sharing of representations of AI (myths vs. reality).
Topics covered
  • →History and definitions: From Alan Turing to current models. Precise distinctions between Artificial Intelligence, Machine Learning (supervised/unsupervised/reinforcement), Deep Learning, and Generative AI.
  • →Learning mechanisms: Understand the functioning of a neural network and the training process (weights, bias).
  • →Generative AI decrypted: Functioning of LLMs (Large Language Models), definition of Prompt, RAG (Retrieval-Augmented Generation), and key parameters (Tokens, Temperature).
  • →Market overview: Mapping of actors, distinction between "Hyperscalers" (Microsoft Azure, Google Cloud, AWS) and "Pure Players" (OpenAI, Mistral, Anthropic).
Topics covered
  • →Data as a foundation: The importance of data quality and volume (Big Data) to feed the models.
  • →"Traditional" vs. "Generative" use cases: Traditional AI: augmented OCR, predictive maintenance, scoring, anomaly detection. Generative AI: text, image, code generation, and virtual assistance.
  • →Towards the Augmented Enterprise: Distinction between Assistant (reactive) and Agent (autonomous). The concept of the "Augmented Collaborator": opportunities for efficiency and limitations.
  • →Scaling up: Introduction to the architecture of an enterprise GenAI Platform to secure and industrialize uses.
Topics covered
  • →Ethical Framework: The 4 pillars of AI ethics according to UNESCO and the different types of ethics (computer, digital, usage).
  • →Algorithmic Biases: Understanding representation biases (gender, origin) and cognitive biases. Analysis of their consequences (discrimination, legal risks) through concrete examples.
  • →European Regulation (AI Act): Deciphering the regulation, approach by risk level (Prohibited, High, Specific, Minimal), and compliance schedule.
  • →Practical case study: "LazyTech Lab". Compliance analysis of a fictitious high-risk system. Application of the 10 compliance steps (risk management, data governance, human supervision).
Topics covered
  • →Hardware life cycle: Impact of rare earth extraction and equipment manufacturing.
  • →Energy consumption: Reality of Data Center consumption (electricity, water for cooling) and the carbon footprint of model training.
  • →Best practices: Levers of digital sobriety (choice of adapted models, eco-design) and AI in service of the environment (energy optimization, waste sorting).
Topics covered
  • →Summary of takeaways: "Intelligence lies in the prompt and in the critical analysis of the response".
  • →Question / Answer Session.

Related Trainings

WEnvision

AI Acculturation Webinar

You hear about Artificial Intelligence everywhere, but do you really know what it is? This webinar is designed for everyone, whether you are technical or not. The goal is simple: to demystify AI. We will explain what this technology is, what it is used for, and how it works, without using complicated jargon. We will see that AI is not magic: it needs a lot of data and energy to function. We will also address important questions: Is it reliable? What are the risks for confidentiality? What are the new European rules? This is an introductory, simple, and friendly training session.

0.5 d
Fundamental
WEnvision

Ethical Issues of AI

Explore the crucial ethical issues of Artificial Intelligence and learn to integrate a responsible approach into your AI projects. This in-depth training will allow you to understand the fundamental principles of AI and their implications for individual and institutional ethics. You will develop a critical vision of AI by becoming aware of its limits, while acquiring the necessary skills to identify and mitigate algorithmic biases and transparency problems. You will also explore the environmental challenges related to AI and strategies to minimize its ecological impact. Through practical workshops and case studies, you will learn to integrate ethics into your strategic thinking around AI and to lead ethical AI projects, in compliance with current regulations.

1 d
Intermediate
WEnvision

AI AGENTS - Master Class

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).

0.5 d
Intermediate
View all trainings →

Upcoming sessions

May 20, 2026
Distanciel • Français
Register
August 26, 2026
Distanciel • Français
Register
November 4, 2026
Distanciel • Français
Register

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

No prior technical skills are required (neither in development nor in data science). A curiosity for digital issues and innovation is recommended. A laptop with internet connection is needed.
This training is designed for all employees, regardless of their profession or hierarchical level: technical, functional, support, and management profiles.
The training covers the history of AI (from Turing to LLMs), distinctions between ML, Deep Learning, and Generative AI, how LLMs and RAG work, business use cases (traditional and generative AI), the Augmented Collaborator concept, the European AI Act, algorithmic biases, and digital sobriety.
Yes, the training includes the "LazyTech Lab" practical case study: a compliance analysis of a fictitious high-risk system with application of the 10 compliance steps (risk management, data governance, human supervision).
The AI Acculturation Webinar is a 1h30 discovery session that simply demystifies AI. The AI Fundamentals training lasts a full day and offers a structured immersion with in-depth content: neural network functioning, market actor mapping, practical case study, and digital sobriety issues.
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.

790€ excl. VAT

per learner

ReserveQuote