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Duration 7 hours
Course Outline
AI Tools in the Enterprise: An Introduction
- Defining enterprise AI: A look at modern applications
- Categorizing AI tools: Conversational, generative, and predictive types
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the contemporary productivity ecosystem
Basics of Large Language Models (LLMs)
- What constitutes a Large Language Model?
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompt engineering fundamentals: Crafting effective inputs
- Managing response tone, structure, and length
- Navigating limitations and mitigations (including hallucinations, privacy concerns, and formatting issues)
Daily Use Cases for Senior Leadership
- Drafting and managing professional email correspondence
- Condensing insights from Excel and PowerPoint reports
- Developing and reviewing key talking points for meetings
- Deriving insights from lengthy or complex documentation
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity gains
- Addressing licensing requirements and enterprise security standards
- Assessing ROI and key productivity indicators
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting sessions based on simulated executive tasks
- Collaborative discussion on implementing LLMs within your team
Requirements
- Experience in strategic or operational management roles
- Familiarity with standard office suites like Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise is necessary
Target Audience
- Senior management and C-suite executives
- Directors and department heads looking to explore AI-driven workflows
- Decision-makers assessing the enterprise adoption of AI tools
