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Duration 7 hours
Course Outline
Enterprise AI: An Overview
- Defining enterprise AI and exploring the scope of modern applications
- Categorizing AI tools: conversational, generative, and predictive
- Identifying key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the contemporary productivity ecosystem
Large Language Models (LLMs) Explained
- Defining the concept of a Large Language Model
- Analyzing specific platforms: ChatGPT, Microsoft Copilot, and Grok
- Business relevance: Why LLMs are critical for strategic decision-makers
Practical Application of AI Tools
- Mastering prompt engineering: Techniques for writing effective instructions
- Managing output parameters: Adjusting tone, structure, and response length
- Navigating limitations: Addressing hallucinations, privacy concerns, and formatting issues
Use Cases for Senior Leadership
- Composing and replying to professional correspondence
- Condensing insights from Excel and PowerPoint presentations
- Developing and refining talking points for executive meetings
- Extracting key insights from extensive or complex documentation
Strategic Implementation and Investment
- Reviewing Microsoft Copilot’s enterprise capabilities
- Examining cross-industry examples of AI-driven productivity gains
- Considering licensing structures and enterprise security protocols
- Measuring ROI and tracking productivity Key Performance Indicators (KPIs)
Hands-On Practice
- Live demonstration utilizing ChatGPT and/or Copilot
- Guided prompt walkthroughs based on simulated executive scenarios
- Collaborative discussion: Strategizing how your team can leverage LLMs
Requirements
- Background in strategic or operational management positions
- Familiarity with standard office productivity suites, including Microsoft Word, Excel, and PowerPoint
- No prior programming experience or technical expertise is necessary
Target Audience
- Senior executives and C-suite leadership
- Directors and department heads looking to incorporate AI-driven workflows
- Key decision-makers assessing the enterprise-wide implementation of AI tools