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.
What you will learn
- Simply understand what AI is and the difference between traditional AI and generative AI (the one that creates content).
- Know why data quality is essential for good results.
- Identify the main risks (errors, confidentiality) and know the basic rules to follow.
- Understand the impact of AI on the environment (energy consumption).
Prerequisites
- None. This training is open to everyone. No technical knowledge is required.
- A computer with internet access.
- Speakers or headphones to listen to the audio.
Target audience
- All employees, regardless of their profession (technical, functional, support...)
Training Program
4 modules to master the fundamentals
Topics covered
- →A brief history of AI: from 1950 to today.
- →The key concepts explained simply: Machine Learning (the machine learns from examples), Deep Learning (the machine recognizes complex things), Generative AI (the machine creates new content).
- →How does it work? Understanding the principle of "predicting the next word".
Topics covered
- →The 3 essential ingredients: Algorithms, Computing power, and above all Data.
- →Watch out for quality: If you give bad information to AI, it will give bad results ("Garbage in, garbage out").
- →Biases: Beware of stereotypes that AI can reproduce.
Topics covered
- →Responsible AI: It's not magic, you need to verify sources and be careful with confidential data.
- →The law: Simple presentation of the AI Act (the new European regulation) and risk levels.
- →Ecology: An AI query consumes much more energy than a Google search. How to use it responsibly.
Topics covered
- →Interactive exchanges with the facilitators to answer all your questions.
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
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
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.
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote