Course Outline
Foundational Level – Grasping AI Concepts and Initiating ChatGPT Usage
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts including machine learning, deep learning, and natural language processing
- Applications of AI in commercial and personal contexts
Large Language Models (LLMs) and the ChatGPT Framework
- Mechanics of how Large Language Models operate
- Overview of ChatGPT’s primary capabilities
- Distinguishing between various ChatGPT versions and their specific features
Initiating Interaction with ChatGPT
- Gaining access to ChatGPT and familiarizing with its interface
- Comprehending prompts, model outputs, and context windows
- Developing initial prompts: exploring basic use cases and recognizing limitations
Practical Utility for Daily Operations
- Leveraging ChatGPT for drafting, summarizing content, and creative ideation
- Generating structured templates, professional emails, and reports
- Utilizing ChatGPT for scheduling assistance and communication support
Ethical Standards and Optimal Usage
- Addressing bias, data confidentiality, and ethical considerations
- Establishing realistic expectations regarding accuracy and result verification
- Practical exercises: Simulating AI-assisted decision-making processes
Intermediate Level – Enhancing Efficiency through ChatGPT
Prompt Engineering and Performance Optimization
- Constructing structured prompts to achieve consistent results
- Effective use of examples, role assignments, and constraint parameters
- Iterative refinement of ChatGPT responses for improved quality
Connecting ChatGPT with Productivity Ecosystems
- Linking ChatGPT with Google Workspace components (Docs, Sheets, Gmail)
- Integrating ChatGPT into Microsoft 365 tools (Word, Excel, Teams)
- Automating the generation of documents, meeting summaries, and task tracking
Application in Agile and Technical Processes
- Drafting and refining user stories along with acceptance criteria
- Preparing sprint documentation and retrospective insights
- Supporting backlog refinement and accurate task estimation
Collaborative AI-Driven Workflows
- Implementing team-based prompting strategies and feedback loops
- Developing a shared repository for AI knowledge
- Group activities: Simulating real-world tasks with AI assistance
Practical Application Scenarios
- Utilizing ChatGPT as a meeting facilitator
- Employing ChatGPT as a writing consultant
- Partnering with ChatGPT for process improvement brainstorming
Advanced Level – Customization, System Integration, and Oversight
AI Utilization in Development and Data Initiatives
- Writing and refactoring code with the aid of ChatGPT
- Generating API documentation and creating testing scripts
- Facilitating SQL query creation and data analysis tasks
Personalizing and Expanding ChatGPT Capabilities
- Building Custom GPTs tailored to specific organizational needs
- Leveraging plugins and third-party integrations for extended functionality
- Utilizing the OpenAI API for automated workflows
Security, Ethics, and Governance Frameworks
- Formulating corporate policies for AI utilization
- Ensuring data security and implementing responsible AI practices
- Adhering to privacy standards and regulatory compliance
Constructing AI-Powered Solutions
- Designing productivity dashboards driven by AI
- Connecting ChatGPT to enterprise systems through API integrations
- Implementing automation for reporting, data validation, and analytics
Capstone Project: Implementing AI in Practice
- Identifying a specific organizational challenge
- Designing and executing an AI-based resolution using ChatGPT
- Presenting findings and incorporating peer feedback
Conclusion and Future Pathways
Requirements
- Basic proficiency in general computer operations
- Prior experience utilizing text-based software or office suites
- Acquaintance with digital collaboration platforms
Target Audience
- Administrative and support 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.
