Course Outline
Beginner Level – AI Foundations and ChatGPT Essentials
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical applications of AI in corporate and daily contexts
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Mechanisms behind Large Language Models (LLMs)
- Overview of ChatGPT’s core capabilities and features
- Comparing ChatGPT versions and their respective advantages
Initiating Your ChatGPT Journey
- Accessing the platform and mastering the user interface
- Concepts of prompting, response generation, and model context
- Formulating initial prompts: basic applications and inherent limitations
Practical Use Cases for Daily Operations
- Leveraging ChatGPT for drafting, summarization, and ideation
- Generating templates, professional emails, and reports
- Enhancing scheduling and communication tasks
Ethical Usage and Best Practices
- Navigating bias, data privacy, and ethical considerations
- Establishing realistic expectations for accuracy and verification
- Practical session: Exercises in AI-assisted decision-making
Intermediate Level – Amplifying Productivity with ChatGPT
Prompt Engineering and Refinement
- Structuring prompts to achieve consistent, predictable results
- Strategic use of examples, role-playing, and constraints
- Iterative improvement and refinement of model outputs
ChatGPT Integration with Productivity Suites
- Synergizing ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting note-taking, and task management
Applications in Agile and Technical Processes
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective notes
- Supporting backlog grooming and task estimation
Collaborative AI Workflows
- Team-oriented prompting strategies and feedback loops
- Developing a shared repository of AI knowledge and prompts
- Group exercise: Simulating real-world AI-assisted tasks
Hands-on Scenarios and Practical Applications
- Utilizing ChatGPT as a virtual meeting assistant
- Using ChatGPT as a writing and editing coach
- Partnering with ChatGPT for process improvement brainstorming
Advanced Level – Customization, Integration, and Governance
AI in Software Development and Data Projects
- Generating and refactoring code via ChatGPT
- Creating API documentation and test scripts
- Supporting SQL query generation and data analysis
Customization and Extension Strategies
- Building Custom GPTs tailored to specific organizational needs
- Leveraging plugins and integrations for expanded functionality
- Utilizing the OpenAI API for automation and custom workflows
Security, Ethics, and Regulatory Governance
- Formulating corporate AI usage policies
- Ensuring data security and responsible AI deployment
- Maintaining compliance with privacy and regulatory standards
Architecting AI-Driven Solutions
- Designing AI-enhanced productivity dashboards
- Connecting ChatGPT to enterprise systems through APIs
- Automation examples: Report generation, data validation, and analytics
Capstone Project: AI in Practice
- Identifying a genuine organizational challenge
- Designing and deploying a ChatGPT-based solution
- Presentation and peer review session
Course Summary and Future Directions
Requirements
- Proficiency in general computer operations
- Practical experience with text-based software or office suites
- Working knowledge of digital collaboration platforms
Target Audience
- Administrative and operational staff
- Technical personnel and engineers
- 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.
