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Duration 7 hours
Course Outline
Enterprise AI Tools: An Introduction
- Defining enterprise AI and reviewing the landscape of modern applications.
- Categorizing AI tools: conversational, generative, and predictive systems.
- Identifying key industry players, including OpenAI, Microsoft, Google, Meta, and Anthropic.
- Positioning AI tools within the contemporary productivity stack.
Understanding Large Language Models (LLMs)
- Defining the core concepts of a Large Language Model.
- Analyzing specific platforms: ChatGPT, Microsoft Copilot, and Grok.
- Exploring the enterprise relevance of LLMs for decision-making processes.
Practical Application of AI Tools
- Mastering prompting fundamentals for effective communication.
- Techniques for controlling response tone, structure, and length.
- Addressing limitations and implementing workarounds for hallucinations, privacy concerns, and formatting issues.
Executive Use Cases
- Streamlining the drafting and response of professional emails.
- Summarizing complex data from Excel and PowerPoint reports.
- Developing and reviewing key talking points for strategic meetings.
- Extracting actionable insights from lengthy or complex documents.
Strategic Integration and Investment Analysis
- Overview of Microsoft Copilot capabilities in an enterprise context.
- Examining AI-driven productivity improvements across various industries.
- Navigating licensing considerations and enterprise security protocols.
- Assessing ROI and defining productivity KPIs.
Hands-On Exercises
- Live demonstrations utilizing ChatGPT and/or Copilot.
- Guided prompt engineering using simulated executive challenges.
- Collaborative group discussion on implementing LLMs within your team.
Requirements
- Background in strategic or operational management.
- Familiarity with standard office applications, including Microsoft Word, Excel, and PowerPoint.
- No prior programming experience or technical expertise is necessary.
Target Audience
- C-suite executives and senior leadership teams.
- Directors and department heads exploring AI-enhanced workflows.
- Key decision-makers assessing the enterprise-wide adoption of AI solutions.
