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Duration 7 hours
Course Outline
Overview of AI Tools in the Enterprise
- 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
- The role of AI tools within the modern productivity stack
Basics of Large Language Models (LLMs)
- Defining a Large Language Model
- Gaining insight into ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs are critical for decision-makers
Practical Application of AI Tools
- Prompting essentials: Strategies for writing effective prompts
- Managing the tone, structure, and length of AI responses
- Addressing limitations and workarounds (e.g., hallucinations, privacy, formatting)
Common Use Cases for Senior Executives
- Drafting and replying to professional emails
- Summarizing data in Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot for enterprise environments
- Examples of AI-driven productivity improvements across various industries
- Considerations for licensing and enterprise security
- Assessing ROI and productivity KPIs
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Prompting walkthroughs based on simulated executive tasks
- Group discussion: Exploring how your team can leverage LLMs
Requirements
- Background in strategic or operational management positions
- Basic proficiency with office applications such as Microsoft Word, Excel, and PowerPoint
- No programming or specialized technical background required
Target Audience
- Senior management and executive leadership
- Directors and department heads investigating AI-driven workflows
- Decision-makers evaluating the enterprise adoption of AI tools