Description

This training is designed for information systems managers who want to master the strategic and operational challenges of generative AI. It offers an overview of concrete applications in automation, cybersecurity, development, and IT project management, while addressing governance and organizational impacts. The goal is to provide tools to effectively lead AI transformation within IT departments.

Who is this training for ?

For whom ?

• Managers and leaders of information systems.
• IT project managers and cybersecurity officers.
• Stakeholders involved in digital transformation within IT services.

Prerequisites

• General knowledge of information systems.
• No specific technical AI prerequisites.

Training objectives

Understand the fundamentals and specifics of generative AI in information systems

Discover how AI can automate and secure IT processes

Acquire a methodology to integrate and manage AI projects within information systems

Training program

• Fundamentals of Generative AI, Security & Ethics
  • Technical foundations of generative models (LLMs, diffusion, fine-tuning).
  • Differences between traditional AI, generative AI, and automation.
  • Risks and biases: hallucinations, confidentiality, data security.
  • Regulatory challenges: GDPR, EU AI Act, AI governance.
  • Deliverables: Educational summary: fundamentals, risks, best practices; Responsible AI usage and security charter for IT departments; Compliance cheat sheet (GDPR, AI Act, internal guidelines).
• Prompt Engineering & Conversational AI
  • Techniques for writing effective prompts for IT and IS contexts.
  • Tools overview: ChatGPT, Gemini, Claude, Mistral, Copilot…
  • Advanced prompting: roles, instruction chains, reusable templates.
  • Managing and governing prompts for enterprise use.
  •  Deliverables: Prompt pack for IT support, security, and documentation tasks; Internal guide: best practices for prompt engineering; Shared prompt repository organized by use case.
• Knowledge Management & Human-AI Collaboration
  • Capturing, structuring, and sharing knowledge using AI.
  • Integration with knowledge bases (Notion, SharePoint…).
  • Human-AI collaboration: co-writing, reviewing, documentation.
  • Governance and knowledge capital enhancement.
  • Deliverables: Knowledge sharing and prompt/tool management plan; Internal AI knowledge base or team wiki; Template for documenting tools, prompts, and agents.
• AI Tools & IT Workflow Automation
  • Review of AI/no-code tools relevant for IT operations (Zapier, Make, Notion AI…).
  • Integration with ITSM, CMDB, Jira, Confluence, etc.
  • Building custom AI agents (e.g., support bots, monitoring assistants).
  • Automation triggers, human-in-the-loop controls, and governance.
  • Deliverables: Working prototype of a micro-AI agent (e.g., FAQ bot, ticket assistant); Automated workflow diagram; Curated tool directory (AI/no-code) adapted to your IT environment.