IA générative - Avancé - EN
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Formation créée le 14/05/2025.
Version du programme : 1
Programme de la formation
Training Objective : Use generative AI in a professional, high-performance, and secure way to automate workflows, build custom business assistants, and integrate generative AI into operational systems with appropriate governance.
Objectifs de la formation
- Design dynamic, modular, and high-precision prompts,
- Build a specialized conversational AI agent contextualized to business needs,
- Develop micro AI tools using low-code connectors (Make, Zapier, Notion AI, etc.),
- Manage the quality, traceability, risks, and accountability of AI-generated content,
- Structure sustainable and ethical governance of AI tools across teams and departments.
Profil des bénéficiaires
Pour qui
- Business or project managers working on data/AI implementation,
- Managers from HR, Marketing, Communications, Legal, Innovation or IT departments,
- Transformation or automation leads in charge of process improvement,
- Product Owners, consultants, or “AI Champions” driving adoption within their teams.
Prérequis
- Solid understanding of generative AI principles (LLM, prompting, use cases),
- Regular experience using ChatGPT, Copilot, or similar AI tools in a professional context,
- Familiarity with at least one workflow or automation tool (Notion, Zapier, Google/Microsoft Suite).
Contenu de la formation
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Advanced Prompt Engineering (2h)
- Modular structure: conditional segments, adaptive templates,
- Role/format/style logic and output control techniques,
- Model comparison and response optimization.
- Practical activity : Design a prompt engine that dynamically generates a professional document (email, memo, HR note…) based on context.
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Build a Generative Micro-Service (3h)
- Chaining prompts with tools: e.g., ChatGPT → Google Sheets → Email,
- Creating workflow automations using Make / Zapier,
- Adding conditional logic and post-treatment layers.
- Practical activity: Build a workflow-based AI assistant that generates a deliverable based on form inputs (HR report, meeting summary, content draft...).
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Designing a Specialized Conversational AI Agent (2h)
- Using memory/context features (e.g. GPT-4, Claude 3),
- Designing structured expert personas with clear scopes and limits,
- Managing consistency and fallbacks.
- Practical activity: Create a legal or HR expert chatbot from a business corpus, and simulate a dialogue for accuracy testing.
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Building AI Governance Structures (2h)
- Human-in-the-loop, documentation, output auditing,
- Input/output control: prompts, templates, post-processing,
- Risk and responsibility distribution.
- Practical activity: Build a governance grid for an AI use case: versioning, validation, access, risk levels, and human checkpoints.
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Scaling and Industrializing Generative AI (2h)
- Identifying scalable use cases,
- Cost/benefit/risk modeling of AI assistants,
- Moving from POC to organizational deployment.
- Practical activity: Define a roadmap to industrialize an AI assistant in a real business context: milestones, risks, indicators, and teams.
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Final Capstone Workshop (3h)
- Design and simulate the deployment of a generative AI tool integrated in a workflow,
- Evaluate performance, governance, and user engagement,
- Pitch the result and receive peer feedback.
Équipe pédagogique
Professionnel expert technique et pédagogique.