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Course Outline

Module 1: Understanding AI and Its Impact

Establish a foundational comprehension of artificial intelligence, including its operational capabilities and potential risks.

High-Level Overview of AI

  • Definition and scope of AI.
  • Functional mechanics of AI systems explained clearly.
  • Identification and mitigation of ‘AI hallucinations’
  • Conceptual overview of Large Language Models (LLMs) and AI agents.

AI Ethics

  • Significance of ethical frameworks in AI deployment.
  • Data security and privacy protections across diverse AI models.
  • Foundational principles and best practices for secure data handling using AI resources for government operations.

Module 2: Overview of Popular AI Tools

Evaluate key AI platforms, their capabilities, and selection criteria based on technical strengths, constraints, and licensing structures.

Overview of Popular LLMs

  • Copilot (Microsoft): Operational strengths, limitations, and licensing requirements.
  • Gemini (Google): Functional features, limitations, and licensing costs.
  • ChatGPT (Open AI): Capability overview, limitations, and cost structures.

Considerations when Choosing an LLM

  • Compatibility with Existing Government Tech Stack
  • Scalability and Infrastructure Resource Requirements
  • Cost Analysis and Pricing Models
  • Ethical Compliance and Safety Standards

Module 3: Exploring Popular AI Tools

Analyze the core functionalities of leading AI platforms—Microsoft 365 Copilot, Google AI Studio, and OpenAI’s ChatGPT—to enhance productivity, data analysis, content development, and real-time collaboration.

Introduction to Copilot:

  • Mission and scope of Microsoft 365 Copilot?
  • Licensing Framework Overview
  • Core components of the Microsoft 365 Copilot ecosystem
  • Microsoft’s commitment to responsible AI governance
  • Copilot Operational Examples
  • Presentation Development: Generating concepts, outlines, and slide content.
  • Excel Integration: Utilizing Copilot for formula clarification and data analysis.
  • Document Authoring and Editing: Drafting, summarizing, and reviewing official reports.
  • Email Correspondence: Drafting concise and professional communications.
  • Image Generation via Copilot Designer
  • Collaborative editing using Copilot Pages
  • Embedded Copilot in Microsoft Edge
  • Web Content Summarization and Key Information Extraction
  • Video Summary Generation with Timestamps

Introduction to Google AI Studio:

  • Access protocols and functionality of AI Studio?
  • Data privacy compliance overview
  • Operational demonstration of AI Studio
  • Basic configuration parameters and settings
  • Utilization of the prompt library
  • Integrated tutorials and use cases
  • Real-Time Support and Collaborative Workflows
  • Implementation of Stream Realtime
  • Screen Sharing for Targeted Technical Assistance
  • Project Sharing with Colleagues

Introduction to ChatGPT

  • Access protocols and functionality of ChatGPT?
  • Data privacy compliance overview
  • Operational demonstration of ChatGPT
  • Overview of basic configuration settings
  • Utilization of the prompt library
  • Ephemeral Chat capabilities
  • Web Search Integration
  • Canvas Feature Utilization

Optimizing AI Tool Outcomes

  • Prompt Engineering Fundamentals: Structuring instructions for precision and accuracy.
  • Adjusting platform-specific prompt parameters
  • Strategies for Value Maximization: Leveraging context, examples, and precise language.
  • Customizing Copilot prompts for specific use cases
  • Distribution of Saved Prompts Among Colleagues
  • Implementation of Prompt Templates (Prompt Reference Guides)

Module 4: Expanding Your AI Toolkit

Utilize mobile-based AI applications to enhance operational productivity, research capabilities, and real-time decision support.

Exploring AI Tools on Mobile Devices

  • Accessing complimentary mobile AI applications (Copilot, ChatGPT, Gemini).
  • Key features supporting mobile workforce productivity.
  • Leveraging image capture for immediate information retrieval
  • Utilizing live conversational AI functions with Gemini

Exploring other popular LLMs (time permitting)

This module examines multi-model AI platforms that provide access to varied Large Language Models.

  • Perplexity AI - A platform enabling users to select from diverse LLMs, including ChatGPT, Gemini, and Claude, for varied analytical tasks and experimentation.
  • Hugging Face - A comprehensive repository hosting numerous pre-trained models, including ChatGPT, Gemini, and Claude. Users can transition between models and fine-tune them for specific government use cases.

Requirements

Intended Audience:

This training program is designed for professionals seeking to enhance operational efficiency through the adoption of cost-effective artificial intelligence tools tailored for government use.

Prerequisites

No prior formal prerequisites are required; however, participants should possess fundamental digital literacy, including proficiency in web navigation and file management. Familiarity with Microsoft 365 (Word, Excel, Outlook, PowerPoint) and Google Workspace is advantageous for maximizing the value of this curriculum.

Reliable Internet Connectivity & a Web Browser – Because many artificial intelligence applications operate on cloud infrastructure, attendees must have stable online access to utilize these resources effectively.

 7 Hours

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