Course Outline
Beginner Level – Understanding AI and Getting Started with ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in business and daily life
Large Language Models (LLMs) and ChatGPT
- Comprehending the mechanics of LLMs
- Overview of ChatGPT and its primary capabilities
- Examining different ChatGPT versions and their distinctions
Getting Started with ChatGPT
- Accessing ChatGPT and exploring the user interface
- Understanding prompts, responses, and model context
- Formulating initial prompts: basic use cases and constraints
Practical Applications for Everyday Tasks
- Leveraging ChatGPT for writing, summarization, and brainstorming
- Generating templates, emails, and reports using ChatGPT
- Utilizing ChatGPT for scheduling and communication assistance
Responsible Use and Best Practices
- Addressing bias, data privacy, and ethical considerations
- Setting accurate expectations for verification and output quality
- Practical exercises: AI-assisted decision-making scenarios
Intermediate Level – Boosting Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent results
- Effectively utilizing examples, roles, and constraints
- Refining ChatGPT outputs through iterative improvements
Integrating ChatGPT with Productivity Tools
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Incorporating ChatGPT into Microsoft 365 (Word, Excel, Teams)
- Streamlining document creation, meeting notes, and task management
Applications in Agile and Technical Workflows
- Creating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective summaries
- Supporting backlog refinement and task estimation processes
Collaborative Workflows with AI
- Implementing team-based prompting and feedback loops
- Developing a shared repository of AI knowledge
- Group projects: simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- Utilizing ChatGPT as a meeting assistant
- Using ChatGPT as a writing coach
- Engaging ChatGPT as a brainstorming partner for process enhancement
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Generating and refactoring code with ChatGPT
- Employing ChatGPT for API documentation and testing scripts
- Applying ChatGPT for SQL query generation and data analysis support
Customizing and Extending ChatGPT
- Developing Custom GPTs for specific organizational needs
- Leveraging plugins and integrations to expand functionality
- Exploring the OpenAI API for automated workflows
Security, Ethics, and Governance
- Establishing corporate policies for AI usage
- Ensuring data security and responsible AI deployment
- Maintaining compliance with privacy and regulatory standards
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards
- Connecting ChatGPT with enterprise systems via APIs
- Automation scenarios: reporting, data validation, and analysis
Capstone Project: AI in Action
- Identifying a specific organizational challenge
- Designing and implementing an AI-based solution using ChatGPT
- Presenting the solution and gathering peer feedback
Summary and Next Steps
Requirements
- Basic understanding of general computer usage
- Experience with text-based tools or office applications
- Familiarity with online collaboration platforms
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.
