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Duration 7 hours
Course Outline
AI Tools in the Enterprise: An Introduction
- Defining enterprise AI: An overview of contemporary applications
- Categorizing AI tools: Conversational, generative, and predictive
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools in the modern productivity stack
Understanding Large Language Models (LLMs)
- Defining what constitutes a Large Language Model
- Exploring ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Work with AI Tools
- Prompting basics: Crafting effective prompts
- Managing response tone, structure, and length
- Addressing limitations and workarounds (e.g., hallucinations, privacy, formatting)
Everyday Use Cases for Senior Executives
- Drafting and replying to professional correspondence
- Summarizing reports in Excel and PowerPoint
- Developing and reviewing meeting talking points
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment
- Overview of Microsoft Copilot for enterprise use
- Examples of AI-driven productivity across various industries
- Considerations regarding licensing and enterprise security
- Assessing ROI and productivity KPIs
Practical Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompting sessions based on simulated executive tasks
- Group discussion: Potential applications of LLMs within your team
Requirements
- Experience in strategic or operational management positions
- Basic proficiency with office applications such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical background is necessary
Target Audience
- Senior management and executive leadership
- Directors and department heads exploring AI-driven workflows
- Decision-makers assessing the enterprise-level adoption of AI tools