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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
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- Positioning AI tools within the modern productivity ecosystem
Understanding Large Language Models (LLMs)
- What defines a Large Language Model?
- Overview of key platforms: ChatGPT, Microsoft Copilot, and Grok
- Relevance to business: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Essential prompting principles: Crafting effective instructions
- Managing response parameters: Tone, structure, and length
- Navigating limitations and mitigations: Addressing hallucinations, privacy, and formatting issues
Use Cases for Senior Leadership
- Drafting and managing professional email communications
- Condensing data from Excel and PowerPoint reports
- Formulating and reviewing meeting talking points
- Deriving key insights from lengthy or complex documentation
Strategic Integration and Investment Analysis
- Introduction to Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity enhancements
- Reviewing licensing frameworks and enterprise security protocols
- Measuring ROI and productivity performance indicators (KPIs)
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompt exercises based on simulated executive tasks
- Collaborative discussion: Strategic applications for your team
Requirements
- Professional experience in strategic or operational management positions
- Basic proficiency with standard office applications, including Microsoft Word, Excel, and PowerPoint
- No prior programming knowledge or technical background is necessary
Target Audience
- Senior management and executive leadership teams
- Directors and department heads investigating AI-enhanced workflows
- Key decision-makers assessing the enterprise-scale adoption of AI tools