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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI and an overview of contemporary AI applications
- Categorizing AI tools: conversational, generative, and predictive
- Leading industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the modern productivity stack
Understanding Large Language Models (LLMs)
- Defining 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
- Prompting basics: strategies for writing effective prompts
- Managing tone, structure, and response length
- Navigating limitations and solutions (addressing hallucinations, privacy, and formatting issues)
Use Cases for Senior Executives
- Drafting and replying to professional correspondence
- Summarizing data from Excel spreadsheets and PowerPoint presentations
- Developing and reviewing key talking points for meetings
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment Opportunities
- An overview of Microsoft Copilot for enterprise environments
- Cross-industry examples of AI-driven productivity gains
- Considerations regarding licensing and enterprise security
- Evaluating ROI and productivity key performance indicators (KPIs)
Hands-On Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Guided prompting sessions based on simulated executive tasks
- Group discussions on applying LLMs within your own team
Requirements
- Relevant experience in strategic or operational management positions
- Familiarity with standard office productivity suites such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise is necessary
Target Audience
- Senior management and executive leadership teams
- Directors and department heads interested in adopting AI-driven workflows
- Decision-makers assessing the enterprise-wide adoption of AI tools