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 Duration 14 hours

Course Outline

  • Day 1: Leveraging ChatGPT for Operational Efficiency
    • Introduction to the OpenAI ecosystem and model architecture
      • Comparison of standard and reasoning models, with specific guidance on when extended processing enhances outcomes
      • Analysis of Plus, Business, and Enterprise tiers, emphasizing data protection protocols and usage policies for government environments
      • Differentiation from competing AI platforms such as Claude, Copilot, and Gemini
      • Practical Exercise: Execute a standard operational task using both a standard model and a reasoning model to evaluate comparative performance.
    • Prompt Engineering and Personalization
      • Configuration of custom instructions to align outputs with organizational standards
      • Management of memory features, including verification, correction, deactivation, and the use of temporary sessions
      • Development of effective prompts incorporating specific objectives, contextual constraints, illustrative examples, and required output formats
      • Strategies for refining model outputs through iterative feedback rather than restarting processes
      • Practical Exercise: Develop persistent custom instructions and validate their impact on two distinct operational tasks.
    • Document Processing and Data Analysis
      • Upload, interrogation, and comparative analysis of PDF, Word, and Excel files
      • Generation of statistical analyses, visualizations, and pivot tables using built-in analysis tools
      • Audit of computational logic and verification of calculation pathways
      • Practical Exercise: Process an anonymized Excel dataset and substantiate three key findings with appropriate data visualizations.
    • Canvas, Visual Assets, and Audio Interface
      • Collaborative editing and refinement of text and documents within the Canvas environment
      • Generation and modification of graphics and images suitable for official presentations
      • Utilization of voice mode and dictation features for note-taking and briefing preparation
      • Practical Exercise: Refine a report draft in Canvas and generate a corresponding visual element for a presentation slide.
    • Deliverable: Each participant will possess personalized standing instructions, a validated data analysis report, and a revised document derived from their daily operational workflows.
  • Day 2: Advanced Capabilities: Projects, Custom GPTs, and Autonomous Agents
    • Project Management for Recurring Workflows
      • Creation of project environments incorporating specific files and standing instructions
      • Implementation of shared projects to facilitate team collaboration
      • Organization and management of complex chat histories and accumulated interactions
      • Practical Exercise: Establish a project structure for an ongoing initiative, including three reference files and one specific instruction set.
    • Development of Custom GPTs (No-Code)
      • Definition of instructions, knowledge base integration, and conversation starters
      • Quality assurance through targeted testing and validation questions
      • Deployment within workspaces, management of access permissions, and maintenance protocols
      • Practical Exercise: Construct a custom GPT for a common organizational request and validate its functionality with five test scenarios.
    • Advanced Research and Web Integration
      • Determination of appropriate use cases for web search, model knowledge, and deep research capabilities
      • Formulation of research assignments specifying questions, source requirements, exclusions, and output formats
      • Verification of cited sources and review of supporting textual evidence
      • Practical Exercise: Draft a deep research assignment on a technical subject and verify the credibility of three cited sources.
    • Integrations and Agentic Workflows
      • Configuration of connectors for file storage systems, email, and calendar applications
      • Utilization of the ChatGPT agent for multi-step browser-based tasks
      • Assessment of approval checkpoints, operational limitations, and risk management for autonomous workflows
      • Automation of recurring tasks for periodic overview generation
      • Practical Exercise: Delegate a multi-step research task to the agent and monitor the workflow through necessary approval gates.
    • Strategic Outlook and Governance Frameworks
      • Assessment of emerging capabilities (Codex and Sora) and their implications for departmental operations
      • Establishment of governance rules for data handling, output review, and shared GPT management
      • Formulation of a 30-day individual implementation plan
      • Practical Exercise: Define three specific usage policies for application within the local team or department.
    • Deliverable: Each participant will have established a project structure, a shared custom GPT, and a verified research output. The team will possess a working understanding of the agent, connectors, and the established governance rules.

Requirements

  • Laptop, active ChatGPT account (Business or Enterprise recommended; Plus acceptable), and anonymized sample files relevant to daily operational work
  • No prior programming experience required

Target Audience

  • Public sector employees and teams utilizing ChatGPT Plus, Business, or Enterprise tiers who aim to advance from basic chat interactions to complex project management, custom GPT deployment, and agentic workflows for government operations

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