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Duration 7 hours
Course Outline
Introduction to Enterprise AI Tools
- Defining enterprise AI: An overview of contemporary AI applications
- Categorization of AI tools: conversational, generative, and predictive
- Leading providers: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the current productivity ecosystem
Foundations of Large Language Models (LLMs)
- Defining a Large Language Model
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Business relevance: Why LLMs are critical for decision-makers
Practical Engagement with AI Tools
- Prompting basics: Crafting effective prompts
- Managing response tone, structure, and length
- Addressing limitations and solutions (hallucinations, privacy, formatting)
Applications for Senior Executives
- Composing and replying to professional emails
- Summarizing data from Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Deriving insights from extensive or complex documents
Strategic Integration and Investment Analysis
- Introduction to Microsoft Copilot for enterprise use
- Cross-industry examples of AI-driven productivity
- Considerations regarding licensing and enterprise security
- Assessing ROI and productivity key performance indicators (KPIs)
Hands-On Exercises
- Live demonstrations utilizing ChatGPT and/or Copilot
- Guided prompting sessions based on simulated executive tasks
- Group discussion: Exploring LLM application within your team
Requirements
- Background in strategic or operational management
- Familiarity with standard office applications such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise required
Target Audience
- Senior management and executive leadership
- Directors and department heads investigating AI-driven workflows
- Decision-makers assessing the enterprise adoption of AI tools