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Duration 7 hours
Course Outline
Enterprise AI Tools: An Overview
- Defining enterprise AI: A survey of contemporary AI applications
- Categorizing AI tools: Conversational, generative, and predictive models
- Leading providers: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the modern productivity ecosystem
Fundamentals of Large Language Models (LLMs)
- Defining what a Large Language Model is
- An overview of ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting basics: Techniques for crafting effective prompts
- Managing response tone, structure, and length
- Navigating limitations and solutions (addressing hallucinations, privacy, and formatting issues)
Common Use Cases for Senior Leadership
- Composing and replying to professional correspondence
- Condensing Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Deriving insights from lengthy or complex documentation
Strategic Integration and Investment Analysis
- Insights into Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-enhanced productivity
- Reviewing licensing terms and enterprise security protocols
- Assessing ROI and key productivity metrics (KPIs)
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompting sessions focused on simulated executive duties
- Collaborative discussion: Strategizing LLM application within your team
Requirements
- A background in strategic or operational management
- Familiarity with standard office applications like Microsoft Word, Excel, and PowerPoint
- No programming or advanced technical expertise required
Target Audience
- Senior management and executive leaders
- Directors and department heads interested in AI-driven workflows
- Decision-makers assessing the enterprise adoption of AI technologies