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 Duration 7 hours

Course Outline

Module 1: Fundamentals of AI and Operational Implications

Establish a foundational comprehension of artificial intelligence, its functional capabilities, and the associated risks and challenges.

Comprehensive Overview of AI

  • Definition of AI.
  • Simplified explanation of AI mechanisms.
  • Recognition of 'AI hallucinations'.
  • Basic understanding of Large Language Models (LLMs) and AI agents.

AI Ethics and Compliance

  • The necessity of ethical frameworks in AI deployment.
  • Awareness of data security and privacy protocols when utilizing diverse AI models.
  • Fundamental principles and best practices for data management when employing AI tools.

Module 2: Implementing Microsoft Copilot 365

Acquire skills for utilizing Microsoft 365 Copilot to facilitate document generation, data analysis, and cross-platform collaboration within the Microsoft ecosystem.

Copilot Fundamentals

  • Overview of Copilot and access protocols.
  • Copilot licensing structures.
  • Distinctions between free and paid versions.
  • Summary of Copilot integrations.

Applied Copilot Functionality in Daily Operations

  • Presentation Development:
    • Utilizing Copilot to assist in slide design and content organization.
  • Excel Operations:
    • Employing Copilot for data management, formula creation, and task automation.
  • Word Operations:
    • Leveraging Copilot for drafting, editing, and document formatting.
  • Email Correspondence:
    • Efficiently drafting and dispatching emails using Copilot.
  • Enhancing Teams Meetings:
    • Integrating Copilot into Teams for improved operational efficiency.
    • Utilizing Copilot for meeting minutes, scheduling, and task tracking.
  • Copilot within Microsoft Edge
    • Summarizing page content and extracting critical information.
    • Generating timestamped summaries for video content.
  • OneNote Operations:
    • Enhancing note-taking capabilities.
    • Copilot OneNote optimization strategies.
  • Copilot for OneDrive:
    • Summarizing and analyzing files.
    • Formulating queries and generating FAQ content.
  • Copilot in Pages:
    • Definition and function of Pages.
    • Initial setup and usage of Pages.
    • Collaboration and sharing capabilities in Pages.
  • Copilot in Loop:
    • Definition and function of Loop.
    • Initial setup and usage of Loop.
    • Collaboration and sharing capabilities in Loop.

Optimizing Copilot Output

  • Understanding 'Prompt Engineering': Techniques for phrasing instructions to achieve precise and accurate outcomes.
  • Adjusting prompt configurations within the platform.
  • Strategies for maximizing value: Utilizing context, examples, and concise language for superior results.
  • Modifying Copilot prompts for specific needs.
  • Distributing saved prompts among team members.
  • Implementing prompt templates (Prompt Cheat Sheets).

Module 3: Mobile Productivity and Advanced Applications

Utilize AI-powered applications on mobile devices to improve productivity, research capabilities, and real-time support.

Copilot Mobile Application Overview

  • Introduction to the Copilot mobile application.
  • Key features and mobile usage protocols.
  • Conversational AI (Voice-based interaction).
  • Capturing object images to retrieve relevant information.

Content Generation and Generative AI

  • Technical Writing:
  • Developing documentation, manuals, and procedural guides.
  • Articulating complex concepts with clarity and brevity.
  • Summarizing and editing legal documents.
  • Editing and collaboration via Copilot Pages.
  • Marketing Content:
  • Drafting social media posts, advertisements, and blog articles.
  • Customizing messages for distinct audiences and optimizing for engagement.
  • Utilizing Copilot Designer for image creation.
  • Code Generation:
  • Writing and debugging code fragments.
  • Support for various programming languages and frameworks.

Supplementary Productivity Strategies

  • Additional methods for leveraging Copilot to enhance productivity.
  • Investigating further Office 365 integrations.

Requirements

Target Audience:

This course is designed for all learners seeking to optimize their workflow with free AI solutions for government use.

Prerequisites:

No prior requirements exist; however, to derive benefit from the course, participants should be proficient in using a web browser, navigating websites, and managing files. Familiarity with Microsoft 365 (Word, Excel, Outlook, PowerPoint) and Google Workspace is advantageous.

Internet Access & Web Browser: As many AI tools are cloud-based, participants must be able to access them online.

Licensing Requirements:

To complete the Use Case exercises in this course, each participant must possess:

• Access to a Microsoft 365 subscription (BYOS) with a license for Microsoft 365 Copilot.

• A Microsoft OneDrive account, as Copilot requires OneDrive for file sharing tasks in the Use Case exercises.

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