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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI: A survey of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive types
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity ecosystem
Basics of Large Language Models (LLMs)
- Defining the Large Language Model
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Strategic relevance: Why LLMs matter to executive decision-makers
Practical Application of AI Tools
- Prompt engineering basics: Crafting high-impact prompts
- Managing response tone, structure, and length
- Addressing limitations and solutions (e.g., hallucinations, privacy, formatting)
Day-to-Day Applications for Senior Executives
- Composing and replying to professional correspondence
- Condensing data from Excel and PowerPoint reports
- Developing and refining meeting talking points
- Deriving insights from extensive or complex documentation
Strategic Integration and Investment Analysis
- Introduction to Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity gains
- Examining licensing frameworks and enterprise security protocols
- Assessing ROI and key productivity performance indicators
Hands-On Activities
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompting exercises based on simulated executive scenarios
- Collaborative discussion: Strategies for implementing LLMs in your team
Requirements
- Background in strategic or operational management positions
- Proficiency with standard office applications, including Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise is necessary
Target Audience
- Senior executives and management leadership
- Directors and department heads exploring AI-enhanced workflows
- Key decision-makers assessing the enterprise rollout of AI tools
