Course Outline
Beginner Level – AI Fundamentals and ChatGPT Basics
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Real-world AI applications in business and daily life
Large Language Models (LLMs) and ChatGPT
- Gaining insight into how LLMs function
- An overview of ChatGPT and its primary features
- Comparing different versions of ChatGPT and their distinctions
Getting Started with ChatGPT
- Accessing the platform and navigating the interface
- Comprehending prompts, responses, and model context
- Creating initial prompts: exploring basic uses and limitations
Practical Applications for Routine Tasks
- Leveraging ChatGPT for writing, summarization, and brainstorming
- Drafting templates, emails, and reports using ChatGPT
- Utilizing ChatGPT to support scheduling and communication
Ethical Use and Best Practices
- Awareness of bias, data privacy, and ethical considerations
- Setting realistic expectations for accuracy and verification
- Practical exercise: making decisions with AI assistance
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent results
- Effective use of examples, roles, and constraints
- Iterating to improve and refine ChatGPT outputs
Integrating ChatGPT with Productivity Suites
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Incorporating ChatGPT into Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting notes, and task management
Applications in Agile and Technical Processes
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective insights
- Supporting backlog refinement and task estimation
Collaborative Workflows with AI
- Implementing team-based prompting and feedback loops
- Developing a shared AI knowledge repository
- Group exercise: simulating real-world AI-assisted tasks
Practical Exercises and Case Studies
- Using ChatGPT as a meeting assistant
- Employing ChatGPT as a writing coach
- Partnering with ChatGPT for process improvement brainstorming
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Projects
- Generating and refactoring code via ChatGPT
- Using ChatGPT for API documentation and test scripts
- Applying ChatGPT to SQL queries and data analysis support
Customizing and Extending ChatGPT
- Building Custom GPTs for specific organizational needs
- Leveraging plugins and integrations for added functionality
- Exploring the OpenAI API for automation and workflow management
Security, Ethics, and Governance
- Formulating corporate policies for AI usage
- Ensuring data security and responsible AI deployment
- Meeting compliance with privacy and regulatory standards
Constructing AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to business systems through APIs
- Automation scenarios: reporting, data validation, and analysis
Capstone Project: AI in Practice
- Identifying a real organizational challenge
- Designing and implementing an AI-based solution using ChatGPT
- Presenting findings and receiving peer feedback
Summary and Future Steps
Requirements
- A solid grasp of general computer operations
- Practical experience with text-based tools or office suites
- Comfort with using online collaboration platforms
Target Audience
- Administrative professionals
- Technical staff
- Project managers and developers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
