Course Outline
Foundational Tier – Core Principles of Artificial Intelligence and Introduction to Generative AI
Foundational Concepts in Artificial Intelligence
- Definition and operational scope of Artificial Intelligence (AI)
- Core mechanisms: machine learning, deep learning, and natural language processing
- Implementation of AI solutions in enterprise and public sector contexts
Large Language Models (LLMs) and ChatGPT Frameworks
- Architectural analysis of LLM functionality
- Overview of ChatGPT capabilities and operational parameters
- Comparative analysis of ChatGPT versions and feature sets
Initial Implementation of ChatGPT
- System access protocols and interface navigation
- Understanding prompt structure, response generation, and contextual modeling
- Formulating initial prompts: foundational use cases and system limitations
Operational Applications for Administrative Efficiency
- Leveraging ChatGPT for drafting, synthesis, and strategic ideation
- Developing standardized templates, correspondence, and official reports
- Utilizing AI for logistical coordination and communication management
Regulatory Compliance and Operational Standards
- Addressing algorithmic bias, data confidentiality, and ethical deployment
- Establishing benchmarks for output accuracy and verification protocols
- Practical exercises in AI-assisted decision-making frameworks
Operational Tier – Enhancing Productivity through Advanced ChatGPT Utilization
Prompt Engineering and Output Optimization
- Designing structured queries to ensure consistent and predictable results
- Effective application of contextual roles, examples, and constraints
- Refining model responses through iterative feedback loops
Integration of ChatGPT into Enterprise Productivity Suites
- Interfacing ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting minutes, and task tracking systems
Applications in Agile Methodologies and Technical Operations
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective analyses
- Supporting backlog refinement and resource estimation processes
Collaborative AI Workflows and Team Integration
- Implementing team-based prompting strategies and feedback cycles
- Developing a shared institutional knowledge base for AI utilization
- Group simulations of real-world AI-assisted operational tasks
Practical Exercises and Scenario-Based Applications
- Deploying ChatGPT as a real-time meeting assistant
- Utilizing ChatGPT for technical writing and communication coaching
- Employing ChatGPT as a strategic partner for process optimization
Strategic Tier – Customization, System Integration, and Governance Frameworks
AI Applications in Software Development and Data Management
- Generating and refactoring code structures using ChatGPT
- Utilizing ChatGPT for API documentation and automated testing scripts
- Applying ChatGPT to SQL querying and data analysis support
Customization and Extension of ChatGPT Capabilities
- Creating Custom GPTs tailored for specific organizational workflows
- Leveraging plugins and third-party integrations for expanded functionality
- Exploring the OpenAI API for automated workflows and system automation
Security, Ethics, and Governance Frameworks
- Formulating institutional AI usage policies and standards
- Ensuring data security and responsible AI implementation practices
- Compliance with federal privacy regulations and regulatory requirements
Developing AI-Driven Strategic Solutions
- Designing AI-powered productivity dashboards and monitoring tools
- Integrating ChatGPT with legacy business systems via API endpoints
- Automation use cases: report generation, data validation, and analytical support
Capstone Exercise: Implementation of AI in Operational Contexts
- Identifying a specific institutional challenge or operational bottleneck
- Designing and deploying an AI-based solution utilizing ChatGPT
- Presentation of results and peer review of implementation strategies
Conclusion and Future Implementation Steps
Requirements
- Proficiency in general computer operation and navigation
- Experience with text-based applications or standard office suites
- Familiarity with digital collaboration platforms and remote work tools
Target Audience
- Administrative and operations professionals
- Technical staff and information systems personnel
- Project managers and software developers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.