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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI: An overview of contemporary AI applications
- Categorisation of AI tools: Conversational, generative, and predictive
- Major industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The position of AI tools within the modern productivity ecosystem
Understanding Large Language Models (LLMs)
- Defining Large Language Models
- An examination 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 response tone, structure, and length
- Addressing limitations and solutions (hallucinations, privacy, and formatting issues)
Practical Use Cases for Senior Executives
- Drafting and managing professional email correspondence
- Summarising data from Excel and PowerPoint reports
- Developing and reviewing meeting talking points
- Deriving insights from lengthy or complex documentation
Strategic Integration and Investment Opportunities
- Overview of Microsoft Copilot for enterprise environments
- Examples of AI-driven productivity gains across various sectors
- Considerations regarding licensing and enterprise security
- Assessing ROI and key productivity indicators
Practical Exercises
- Live demonstrations using ChatGPT and/or Copilot
- Step-by-step prompting exercises simulating executive tasks
- Group discussions on potential team applications for LLMs
Requirements
- Background in strategic or operational management roles
- Basic proficiency with standard office applications such as Microsoft Word, Excel, and PowerPoint
- No prior programming or technical expertise is required
Target Audience
- Senior management and C-suite leadership
- Directors and department heads investigating AI-driven workflows
- Key decision-makers assessing the enterprise-level adoption of AI tools
