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Course Outline

Fundamentals of AI for Productivity

  • What is Generative AI?
    • A concise overview of the history and evolution of language models
    • Understanding the mechanics of Large Language Models (LLMs)
    • Exploring the capabilities and inherent limitations of tools such as ChatGPT
  • Introduction to ChatGPT
    • Setting up accounts and navigating the user interface
    • Key conceptual elements: temperature, context, and persona definition
  • Practical Exercise: Generating your first draft using ChatGPT

The Art of Prompt Engineering

  • Anatomy of an Effective Prompt
    • Core components: defining task, context, role, format, and tone
    • Strategies for employing "ask and improve" prompting methods
  • Advanced Prompting Techniques
    • Chain-of-Thought: Techniques for guiding AI step-by-step reasoning
    • Few-Shot Prompting: Using examples to refine and direct results
    • Iteration and refinement: Essential for achieving precise and accurate outputs
  • Practical Exercise: Iterating a prompt until it produces the desired result for a management report

Automating Writing and Summarization Tasks

  • Email Drafting and Response Automation
    • Creating professional email drafts efficiently
    • Automating common responses and personalized replies
  • Document Summarization and Analysis
    • Condensing meeting minutes, articles, and lengthy documents
    • Extracting critical points and action items from complex texts
  • Practical Exercise: Using ChatGPT to summarize a document and draft an email response

Microsoft 365 Copilot in Excel

  • Introduction to Copilot in Excel
    • Understanding the interface and exploring its analytical capabilities
    • Crafting effective prompts for in-depth data analysis
  • Data Analysis and Visualization
    • Instructing Copilot to process and analyze large datasets
    • Automating the generation of charts, pivot tables, and visual representations
  • Forecasting and Reporting
    • Utilizing Copilot to generate forecasts based on historical data trends
    • Drafting reports directly from spreadsheet information
  • Practical Exercise: Using Copilot to analyze a sales dataset, generate a forecast, and produce a chart

Microsoft 365 Copilot in PowerPoint and Outlook

  • Copilot in PowerPoint
    • Building presentation structures from Word documents or text drafts
    • Enhancing slides through design suggestions, relevant imagery, and content restructuring
    • Practical Exercise: Using Copilot to create a complete presentation about a project
  • Copilot in Outlook
    • Composing and refining professional emails
    • Managing the inbox by summarizing long threads and prioritizing key messages
    • Practical Exercise: Asking Copilot to summarize an email chain and produce a concise reply

Integration and Advanced Workflows

  • AI Agent Workflows in Enterprise Environments
    • Integrating Copilot with SharePoint and Microsoft Fabric
    • Automating recurring tasks and complex business processes
  • Information Management and Security
    • Ethical considerations and privacy protocols when utilizing AI tools
    • Best practices for the secure handling of sensitive data
  • Practical Exercise: Designing a simple team workflow automation using Copilot in SharePoint
  • Closing and Q&A: A discussion on the future of AI in the workplace and resources for continuous professional development

Requirements

  • Proficiency in Microsoft 365 applications
  • Practical experience with foundational productivity or office management duties
  • No previous hands-on experience with AI tools is necessary

Target Audience

  • Office professionals and productivity specialists
  • Project managers and coordinators
  • Teams aiming to integrate AI into their daily operational workflows
 15 Hours

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