Struttura del corso

Introduction to AI Tools in the Enterprise

  • What is enterprise AI? Overview of modern AI applications
  • Types of AI tools: conversational, generative, predictive
  • Key players: OpenAI, Microsoft, Google, Meta, Anthropic
  • Where AI tools fit in today’s productivity stack

Introduction to Large Language Models (LLMs)

  • What is a Large Language Model?
  • Understanding ChatGPT, Microsoft Copilot, and Grok
  • Enterprise relevance: why LLMs matter to decision-makers

How to Work with AI Tools in Practice

  • Prompting fundamentals: how to write effective prompts
  • Controlling tone, structure, and length of responses
  • Limitations and workarounds (hallucinations, privacy, formatting)

Everyday Use Cases for Senior Executives

  • Drafting and responding to professional emails
  • Summarizing Excel and PowerPoint reports
  • Creating and reviewing talking points for meetings
  • Extracting insights from long or complex documents

Strategic Integration and Investment Scenarios

  • Overview of Microsoft Copilot for enterprise
  • AI-driven productivity examples across industries
  • Licensing considerations and enterprise security
  • Evaluating ROI and productivity KPIs

Practical Exercises

  • Live demonstration with ChatGPT and/or Copilot
  • Prompting walkthroughs using simulated executive tasks
  • Group discussion: how your team might apply LLMs

Summary and Next Steps

Requisiti

  • Esperienza in ruoli di gestione strategica o operativa
  • Familiarità di base con strumenti di ufficio come Microsoft Word, Excel, e PowerPoint
  • Nessuna conoscenza di programmazione o tecnica richiesta

Pubblico Obiettivo

  • Dirigenti senior e leadership esecutiva
  • Direttori e capi dipartimento che esplorano flussi di lavoro guidati dall'IA
  • Takenze decisionali che valutano l'adozione di strumenti AI all'interno dell'impresa
 7 ore

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