Course Outline
Foundational Level – AI Concepts and ChatGPT Essentials
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) and its scope
- Core concepts including machine learning, deep learning, and natural language processing
- Case studies of AI applications in commercial and daily contexts
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Mechanisms behind Large Language Models
- An overview of ChatGPT’s primary capabilities
- Comparative analysis of ChatGPT versions and their distinct features
Initial Engagement with ChatGPT
- Navigation of the ChatGPT interface and access procedures
- Comprehension of prompt structure, model responses, and contextual understanding
- Constructing initial prompts with an eye toward basic use cases and inherent limitations
Everyday Practical Applications
- Leveraging ChatGPT for drafting, summarization, and creative ideation
- Generating professional templates, correspondence, and reports
- Utilizing ChatGPT to support scheduling and communication tasks
Ethical Usage and Operational Best Practices
- Addressing algorithmic bias, data confidentiality, and ethical considerations
- Calibrating expectations regarding output accuracy and the need for verification
- Practical exercises focused on AI-assisted decision-making
Intermediate Level – Enhancing Efficiency via ChatGPT
Advanced Prompt Engineering
- Structuring prompts to ensure consistent and predictable results
- Effective deployment of examples, role assignments, and constraint definitions
- Iterative refinement techniques to optimize ChatGPT responses
Integration with Productivity Suites
- Synchronizing ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 environments (Word, Excel, Teams)
- Automating the generation of documents, meeting summaries, and task management
Agile and Technical Workflow Integration
- Creation and refinement of user stories and acceptance criteria
- Drafting sprint documentation and retrospective analyses
- Support for backlog grooming and task estimation processes
Collaborative AI Workflows
- Facilitating team-based prompting strategies and feedback loops
- Establishing shared repositories for AI knowledge and resources
- Group simulations of real-world tasks assisted by AI
Applied Practice and Scenarios
- Employing ChatGPT as a digital meeting assistant
- Using ChatGPT as a writing mentor and editor
- Partnering with ChatGPT for process improvement and brainstorming
Advanced Level – Customization, System Integration, and Governance
AI in Development and Data Engineering
- Code generation and refactoring using ChatGPT
- Drafting API documentation and testing scripts
- Facilitating SQL query construction and data analysis tasks
Customization and Extension Capabilities
- Developing Custom GPTs tailored to specific organizational needs
- Utilizing plugins and third-party integrations for expanded functionality
- Leveraging the OpenAI API for complex automation and workflow design
Security, Ethics, and Regulatory Governance
- Formulating corporate policies for AI adoption
- Ensuring data security and responsible AI deployment
- Maintaining compliance with privacy laws and regulatory standards
Architecting AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to enterprise systems through API interfaces
- Implementing automation for reporting, data validation, and analytical tasks
Capstone Project: AI in Practice
- Identifying and defining a tangible organizational challenge
- Designing and executing an AI-based solution utilizing ChatGPT
- Presentation of findings and engagement in peer review
Concluding Summary and Future Directions
Requirements
- Basic proficiency in general computer operations
- Practical experience with text-based utilities or office software
- Familiarity with digital collaboration platforms
Target Audience
- Administrative specialists
- 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.
