Applied AI Workshop Training Course

Applied AI Workshop for Government

Format: Intensive hands-on workshop

Goal: Develop practical AI proficiency across leading AI platforms and real-world workflows, tailored for government operations.

Module 1 – AI Platform Capabilities and Comparison (75 minutes)

This module introduces participants to the core capabilities of leading AI platforms used in modern workplaces for government.

Platforms compared:

• ChatGPT

• Google Gemini

• Microsoft Copilot

Topics explored:

• File handling and document limits

• Context window behavior

• Data handling and privacy considerations for government

• Available tools and integrations for government use

• Automation and workflow capabilities relevant to public sector operations

• Strengths and limitations of each platform in a government context

Instructor Demonstration

The instructor walks through key features and differences between platforms while demonstrating real-world use cases for government.

Independent Hands-On

Participants create their own AI tool comparison matrix using a provided template, focusing on government-specific needs.

Participants evaluate:

• Ease of use for government tasks

• Output quality in governmental contexts

• Research capabilities relevant to public sector operations

• Workflow integration potential for government processes

By the end of this module participants will be able to:

• Compare major AI platforms and their capabilities in a government setting

• Identify strengths and limitations of each tool for governmental tasks

• Select the appropriate AI tool for different types of work tasks in government

Module 2 – Research and Multimodal Lab (90 minutes)

This module focuses on using AI for research, synthesis, and critical evaluation of information, with applications for government.

Exercise 1: Long Document Reasoning

Independent Hands-On

Participants upload a multi-document dataset and test analysis across two AI platforms, relevant to governmental research needs.

Participants evaluate:

• Citation quality in government documents

• Logical consistency of information for public sector use

• Depth of synthesis for complex governmental data

• Ability to summarize complex material for government reports

Exercise 2: Hallucination Detection Drill

Independent Hands-On

Participants:

• Ask obscure factual questions related to government data

• Verify citations manually for government sources

• Compare responses across tools used in a governmental context

Group discussion focuses on techniques for identifying and mitigating hallucinations in government-related information.

Exercise 3: Voice Interaction Lab

Guided Hands-On

Participants:

• Brainstorm ideas using voice interaction for government projects

• Interrupt the AI mid-response to refine queries for government tasks

• Request revisions conversationally for governmental outputs

Debrief discussion covers:

• When voice interaction is more effective than typing in a government setting

• When structured prompting works better for public sector tasks

By the end of this module participants will be able to:

• Evaluate AI responses for accuracy and reliability in a government context

• Use AI tools for research and document analysis for government

• Apply verification techniques to detect hallucinated information in governmental data

Module 3 – Custom AI Assistants (2 hours)

Participants explore how modern AI platforms allow users to create custom assistants tailored to specific government tasks.

Platforms introduced:

• ChatGPT Custom GPTs

• Google Gemini Gems

• Microsoft Copilot Agents

Instructor Demonstration

The instructor demonstrates how to build a custom AI assistant for government use, including:

• Defining purpose and scope for governmental tasks

• Writing instructions and behavioral guidance for public sector operations

• Uploading knowledge documents relevant to government work

• Testing and refining responses for government-specific needs

Independent Hands-On

Participants choose one platform and build their own custom AI assistant, tailored to governmental workflows.

Participants:

• Define the assistant’s purpose for government tasks

• Create instructions and system guidance for public sector use

• Upload supporting documents or knowledge relevant to government work

• Test behavior and refine outputs for governmental needs

Instructor provides active facilitation and troubleshooting, with a focus on government-specific challenges.

By the end of this module participants will be able to:

• Design custom AI assistants for specific government workflows

• Configure instructions and knowledge sources relevant to public sector tasks

• Deploy assistants that automate common governmental knowledge tasks

Module 4 – Workflow Automation Lab (90 minutes)

Participants explore how AI can streamline real-world work processes by integrating with productivity tools, specifically for government operations.

Participants choose one of two workflow tracks, both tailored for government use.

Track A – Microsoft Ecosystem

Participants use AI with Microsoft tools to:

• Analyze Excel datasets for government reports

• Generate insights and summaries for public sector documents

• Convert findings into PowerPoint presentations for governmental meetings

Track B – Google Ecosystem

Participants use AI with Google tools to:

• Analyze documents stored in Google Drive for government projects

• Generate structured reports for governmental tasks

• Create summarized outputs for email communication within the public sector

Heavy facilitator support is provided during the exercises, with a focus on government-specific applications.

By the end of this module participants will be able to:

• Use AI to accelerate analysis workflows for government tasks

• Integrate AI outputs with productivity tools used in government

• Design simple automation pipelines for common governmental tasks

Module 5 – Advanced Data Analysis with AI (75 minutes)

Participants explore how AI tools assist with data exploration, code generation, and visualization, with applications for government.

Python and Data Visualization Exercise

Independent Hands-On

Participants upload a dataset relevant to government work and use AI tools to:

• Perform exploratory data analysis for governmental projects

• Generate charts and visualizations for public sector reports

• Refine insights through iterative prompting, tailored to government needs

Participants compare platform behavior in terms of:

• Code transparency for governmental verification

• Error correction and debugging for public sector tasks

• Visualization clarity for governmental presentations

Discussion focuses on how non-developers can leverage AI-assisted data analysis in a government context.

By the end of this module participants will be able to:

• Use AI tools to analyze datasets for governmental tasks

• Generate visualizations and insights relevant to public sector operations

• Iterate on data analysis using AI-assisted workflows tailored for government