• Training Programme

Module 1 | AI Fundamentals Review

• Key concepts of modern AI

• Review of generative AI and foundation models

• Theoretical and practical refresher

Module 2 | No-Code AI Automation

• Introduction to no-code AI agents

• Building basic autonomous agents

• Automating tasks and business processes

Module 3 | Advanced AI Concepts

• Modern AI models and architectures

• Advanced neural networks

• Applying AI to business use cases

Module 4 | Advanced AI Applications

• Designing an intelligent chatbot

• Integrating data sources

• Deployment, testing, and production

Module 5 | Final Project

• Design and implementation of an AI-based project

• Final presentation and project defence

> The training approach combines theoretical instruction, demonstrations, hands-on workshops, and an individual project. Case studies, practical exercises, and interactive discussions encourage participants to apply the acquired knowledge and skills in real-world professional scenarios.

> Completion of AI Admin 1 or equivalent training. Participants should have a basic proficiency in generative AI tools and a fundamental understanding of computer logic or workflow concepts.

This training programme is intended for:

• business analysts and functional analysts;

• project and programme managers;

• IT, digital transformation, innovation, and automation professionals;

• users of Microsoft Copilot, Microsoft 365, and generative AI tools;

• professionals who want to design, automate, and deploy AI use cases;

• anyone looking to develop AI-powered solutions for their professional environment.

Certification du Ministère de l’Education nationale, de l'Enfance et de la Jeunesse

SkillsBridges

• The CNFPC reserves the right to cancel or postpone a training course if the number of duly registered participants is insufficient, for organisational reasons, or in the event of force majeure.
• Cancellation: In the event of cancellation or absence from the training course, the full registration fee remains payable unless the registration is cancelled no later than 72 hours before the start of the course. Absences duly justified by a medical certificate entitle the participant to a full refund of the registration fee.