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Duration 7 hours
Course Outline
Overview of Enterprise AI Tools
- Defining enterprise AI: A look at modern AI applications
- Categories of AI tools: conversational, generative, and predictive
- Key industry players: OpenAI, Microsoft, Google, Meta, and Anthropic
- The role of AI tools within the current productivity stack
Foundations of Large Language Models (LLMs)
- What constitutes a Large Language Model?
- Getting to know ChatGPT, Microsoft Copilot, and Grok
- Enterprise relevance: Why LLMs matter to decision-makers
Practical Application of AI Tools
- Essentials of prompting: Crafting effective instructions
- Managing tone, structure, and length in AI responses
- Addressing limitations and workarounds (hallucinations, privacy, formatting)
Day-to-Day Use Cases for Senior Executives
- Drafting and replying to professional correspondence
- Summarising data from Excel and PowerPoint reports
- Developing and reviewing talking points for meetings
- Extracting key insights from lengthy or complex documents
Strategic Integration and Investment Perspectives
- Overview of Microsoft Copilot for enterprise environments
- Examples of AI-driven productivity across various industries
- Licensing considerations and enterprise security protocols
- Assessing ROI and productivity KPIs
Hands-On Activities
- Live demonstrations using ChatGPT and/or Copilot
- Prompting walkthroughs based on simulated executive tasks
- Group discussion: Exploring how your team might utilise LLMs
Requirements
- Experience in strategic or operational management positions
- Basic proficiency with office suites like Microsoft Word, Excel, and PowerPoint
- No programming or technical background necessary
Target Audience
- Senior management and executive leadership
- Directors and department heads looking to implement AI-driven workflows
- Decision-makers evaluating the enterprise adoption of AI tools