Course Description

Generative AI can support everyday knowledge work such as drafting, summarizing, brainstorming, organizing information, preparing meeting materials, and analyzing text. Productive use requires more than entering a quick question. Employees must define the task clearly, provide useful context, protect sensitive information, and review every output before using it in an official work product.

This hands-on course teaches participants a repeatable process for working with agency-approved generative AI tools. Participants learn how to write prompts that state the purpose, audience, source information, constraints, desired format, and quality standards. They practice refining prompts and comparing results so they can improve relevance, completeness, tone, and usability.

The course emphasizes responsible use throughout each exercise. Participants learn to recognize unsupported claims, omitted context, bias, and disclosure risks; verify important information against reliable sources; and retain responsibility for the final product. Each participant develops a practical workflow for applying generative AI to an appropriate task in his or her own work.

Learning Objectives

Successful completion of this course will increase your knowledge and ability to:

• Identify workplace tasks that are appropriate and inappropriate for generative AI assistance.
• Write effective prompts that specify context, task, audience, constraints, format, and quality criteria.
• Use an iterative prompting process to improve the accuracy, relevance, tone, and completeness of AI-generated content.
• Apply generative AI to drafting, summarizing, brainstorming, organizing, and text-analysis activities.
• Review outputs for factual errors, unsupported claims, bias, omissions, sensitive information, and other quality risks.
• Incorporate agency policy, source verification, human judgment, and accountability into an AI-assisted workflow.

Course Outline- Half Day Agenda

1. Overview

• Course Objectives
• Introduction
• Opening Activity

2. Module 1: Selecting the Right Work for AI

• Common productivity applications and their limitations
• Tasks that require caution or should remain human-led
• Protecting sensitive, personal, procurement, and controlled information
• Exercise: AI Use Case Sort

3. Module 2: Writing Effective Prompts

• Purpose, context, source material, audience, and desired outcome
• Constraints, examples, format, and quality criteria
• Breaking complex assignments into manageable steps
• Practice: Building and Improving a Prompt

4. Module 3: Applying AI to Workplace Tasks

• Drafting and revising written communication
• Summarizing documents and organizing information
• Brainstorming options, questions, and outlines
• Analyzing text for themes, comparisons, and gaps
• Applied Exercise: Complete a Multi-Step Workplace Task

5. Module 4: Reviewing and Using AI Output Responsibly

• Checking facts, sources, calculations, context, tone, and completeness
• Recognizing fabricated information, bias, and unsupported conclusions
• Documenting human review and maintaining responsibility for the final product
• Action Plan: Building an AI-Assisted Productivity Workflow

6. Action Plan

Workshop Participants

TMG considers the optimal number of participants to be 14-20 for facilitation of this workshop. A maximum of 24 is allowed.

Training Materials

A comprehensive workbook accompanies this course that serves as a reference guide for course content.

TMG Training Sessions Delivered to You Virtually or On-Site.

The date you choose. The location you want. The results you need! TMG virtual or on-site training is the perfect solution for training ten employees or launching a company-wide training effort. It’s affordable, completely customizable and absolutely hassle-free. You can count on organizational results that are immediate and measurable.