Course Outline
Beginner Level – Foundations of AI and Initial Interaction with ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) and its significance
- Core concepts: machine learning, deep learning, and natural language processing
- Applications of AI in commercial sectors and daily life
Large Language Models (LLMs) and ChatGPT
- Mechanics of how Large Language Models function
- Overview of ChatGPT’s primary capabilities
- Comparative analysis of ChatGPT versions and their distinct features
Getting Started with ChatGPT
- Accessing the platform and mastering the user interface
- Comprehending prompts, model responses, and contextual memory
- Formulating initial prompts: exploring basic applications and recognizing constraints
Practical Applications for Everyday Tasks
- Leveraging ChatGPT for drafting, summarization, and idea generation
- Generating templates, correspondence, and reports efficiently
- Utilizing ChatGPT for scheduling assistance and communication support
Responsible Use and Best Practices
- Navigating bias, data privacy concerns, and ethical considerations
- Calibrating expectations regarding accuracy and verification protocols
- Practical session: Exercises in AI-assisted decision-making
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent and predictable results
- Effective utilization of examples, role assignments, and constraints
- Refining outputs through iterative feedback loops
Integrating ChatGPT with Productivity Tools
- Seamless integration with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Streamlining document creation, meeting summaries, and task management
Applications in Agile and Technical Workflows
- Drafting and refining user stories and acceptance criteria
- Creating sprint documentation and conducting retrospectives
- Supporting backlog refinement and task estimation processes
Collaborative Workflows with AI
- Implementing team-based prompting strategies and feedback mechanisms
- Developing a shared repository for AI best practices
- Group exercise: Simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- Deploying ChatGPT as a virtual meeting assistant
- Using ChatGPT as a writing coach for professional communication
- Leveraging ChatGPT as a brainstorming partner for process optimization
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Writing and refactoring code using ChatGPT
- Utilizing ChatGPT for API documentation and generating test scripts
- Applying ChatGPT for SQL query construction and data analysis support
Customizing and Extending ChatGPT
- Developing Custom GPTs tailored to organizational needs
- Enhancing capabilities through plugins and third-party integrations
- Exploring the OpenAI API for workflow automation and custom logic
Security, Ethics, and Governance
- Formulating corporate policies for AI adoption
- Ensuring data security and responsible implementation practices
- Maintaining compliance with privacy laws and regulatory standards
Building AI-Driven Solutions
- Architecting AI-powered productivity dashboards
- Connecting ChatGPT to enterprise systems via API interfaces
- Implementing automation for reporting, data validation, and analysis
Capstone Project: AI in Action
- Identifying a tangible organizational challenge
- Designing and deploying an AI-based solution utilizing ChatGPT
- Presenting results and incorporating peer feedback
Summary and Next Steps
Requirements
- Proficiency in general computer operations
- Practical experience with text processing tools or office software suites
- Comfort with digital collaboration platforms
Target Audience
- Administrative and support 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.
