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Course Outline
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
Requirements
- 전략적 또는 운영 관리 역할을 경험한 사람
- Microsoft Word, Excel, PowerPoint 등 사무 도구에 대한 기본적인 이해
- 프로그래밍이나 기술 배경 필요 없음
대상
- 고위 경영진 및 임원
- AI 기반 워크플로우를 탐구하는 부서장 및 부서장
- 기업 AI 도구 채택을 평가하는 의사결정자
7 Hours
