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FORMATION IA

Claude 101 : L'assistant Anthropic pour les équipes en entreprise

Repartez capables d'utiliser Claude efficacement au travail tout en maîtrisant les bonnes pratiques métier.

Format
workshop
Durée
6–8h
Niveau
literacy
Taille de groupe
8–20
Prix / participant
€400–€750
Prix groupe
€5K–€12K
Public
Any business user — operations, marketing, HR, finance, sales — who wants to use Claude.ai productively and safely at work
Prérequis
No prior AI or coding experience needed; participants should have a Claude.ai account (free or Pro) set up before the session

Ce qu'elle couvre

Une journée pratique d'introduction à Claude.ai couvrant l'ensemble des fonctionnalités disponibles pour les utilisateurs professionnels : Projets, imports de fichiers, Artefacts et bases de Computer Use. Les participants réalisent des exercices concrets tirés de leurs propres missions — rédaction, analyse, synthèse et production de contenus structurés. La session établit des règles d'utilisation sécurisée incluant la gestion des données, la formulation des prompts et la validation des résultats, pour une adoption responsable dès le premier jour. Aucune expérience préalable en IA n'est requise.

À l'issue, vous saurez

  • Set up and navigate Claude Projects with custom instructions tailored to a specific job function
  • Upload and interrogate a multi-page business document and produce a structured summary using Artifacts
  • Write effective single-turn and multi-turn prompts for at least three common work tasks (drafting, analysis, extraction)
  • Apply a personal safe-use checklist to identify which information should never be shared with a third-party AI tool
  • Spot common hallucination patterns in Claude's output and apply a two-step verification routine

Sujets abordés

  • Claude.ai interface tour: conversations, memory limits, and model selection
  • Projects: organising context, custom instructions, and team-shared workspaces
  • File uploads: PDFs, spreadsheets, images — what Claude can and cannot do
  • Artifacts: generating documents, code snippets, and structured outputs
  • Computer Use basics: what it is, current limitations, and when to use it
  • Prompt patterns for business tasks: drafting, summarising, classifying, extracting
  • Safe-use rules: what NOT to paste into Claude and how to handle sensitive data
  • Output validation: spotting hallucinations and checking factual claims

Modalité

Delivered in-person or live-online (Zoom/Teams) with a facilitator-to-participant ratio of 1:15 maximum. Roughly 40% concept delivery and 60% hands-on practice. Participants need a laptop and an active Claude.ai account. Materials include a printed (or PDF) prompt cheat-sheet, a safe-use policy template, and a take-home exercise booklet. A follow-up 90-minute Q&A session at 2 weeks post-workshop is strongly recommended.

Ce qui fait que ça marche

  • Designate a Claude champion per team who maintains shared Project instructions and a prompt library
  • Establish a one-page internal safe-use policy before or immediately after the workshop
  • Run the workshop with a real work task each participant wants to solve, rather than generic demo content
  • Schedule a 30-day check-in to share what worked, what didn't, and update prompt templates accordingly

Erreurs fréquentes

  • Pasting confidential client data, contracts, or PII into Claude without checking the organisation's data-processing agreements with Anthropic
  • Treating Claude's output as final without any human review step, especially for numerical or legal content
  • Using Claude for tasks that require real-time or post-training-cutoff information without acknowledging the knowledge gap
  • Skipping Projects and custom instructions, leading to repetitive context-setting and inconsistent results across a team

Quand NE PAS suivre cette formation

This workshop is not the right fit if the organisation has already rolled out a governed, enterprise-level Claude for Work deployment and needs teams trained on custom internal tooling or API integrations — in that case a practitioner-level or developer-focused programme is more appropriate.

Fournisseurs à considérer

Sources

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