Course Outline
Introductory Module – AI Fundamentals and ChatGPT Orientation
Overview of Artificial Intelligence
- Definition of Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Applied AI use cases in enterprise operations and daily workflows
Large Language Models (LLMs) and ChatGPT
- Mechanics of LLM operation
- Summary of ChatGPT features and operational capabilities
- Comparative analysis of ChatGPT versions and distinct features
Onboarding to ChatGPT
- System access protocols and interface navigation
- Concepts of prompting, response generation, and context management
- Initial prompt creation: fundamental applications and operational limits
Operational Use Cases for Routine Tasks
- Leveraging ChatGPT for drafting, summarization, and ideation
- Generation of standardized templates, correspondence, and reports
- Utilizing ChatGPT for schedule management and communication coordination
Ethical Usage and Operational Standards
- Assessment of algorithmic bias, data confidentiality, and ethical protocols
- Establishing benchmarks for output accuracy and verification processes
- Practical exercises: AI-supported decision-making scenarios
Intermediate Module – Enhancing Organizational Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to ensure consistent and predictable outcomes
- Effective utilization of examples, role definitions, and constraints
- Iterative refinement of ChatGPT responses
Integration with Productivity Platforms
- Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Linking ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting documentation, and task tracking
Integration with Agile and Technical Processes
- Creation and refinement of user stories and acceptance criteria
- Drafting sprint records and retrospective analyses
- Supporting backlog refinement and workload estimation
Collaborative AI Workflows
- Team-based prompting strategies and feedback mechanisms
- Construction of a shared institutional AI repository
- Group exercises: Simulation of AI-assisted task execution
Practical Exercises and Scenario Applications
- Deploying ChatGPT as a meeting support tool
- Utilizing ChatGPT for writing guidance
- Leveraging ChatGPT for process improvement ideation
Advanced Module – Customization, System Integration, and Governance
AI Deployment in Development and Data Initiatives
- Code generation and refactoring using ChatGPT
- Application of ChatGPT for API documentation and test script creation
- Supporting SQL query construction and data analysis
Customization and System Extension
- Development of Custom GPTs for specific organizational requirements
- Utilizing plugins and integrations to expand functionality
- Leveraging the OpenAI API for workflow automation
Security, Ethics, and Regulatory Compliance
- Formulation of institutional AI usage policies
- Data protection and responsible AI deployment
- Adherence to privacy laws and regulatory mandates
Development of AI-Powered Solutions
- Designing AI-enabled productivity dashboards
- Connecting ChatGPT to core business systems via API
- Automation scenarios: reporting, data verification, and analytical processing
Capstone Project: Implementation of AI Solutions
- Identification of a specific organizational operational challenge
- Design and execution of a ChatGPT-based solution
- Presentation of findings and peer review
Conclusion and Recommended Follow-up Actions
Requirements
- Proficiency in general computer operations
- Experience using text-based software or office suites
- Familiarity with digital collaboration platforms
Target Audience
- Administrative professionals
- Technical 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.