Course Outline
Beginner Level – Grasping AI Concepts and Initiating Use of ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in the business sector and daily life
Large Language Models (LLMs) and ChatGPT
- Comprehending the mechanics of LLMs
- Overview of ChatGPT and its primary capabilities
- Examining different versions of ChatGPT and distinguishing their features
Getting Started with ChatGPT
- Accessing ChatGPT and navigating the user interface
- Understanding the relationship between prompts, responses, and model context
- Constructing initial prompts: basic use cases and inherent limitations
Practical Applications for Routine Tasks
- Utilizing ChatGPT for drafting, summarizing content, and generating ideas
- Creating templates, professional emails, and reports using ChatGPT
- Leveraging ChatGPT for scheduling and communication assistance
Responsible Use and Best Practices
- Understanding bias, data privacy, and ethical considerations
- Setting realistic expectations regarding accuracy and verification
- Practical exercises: AI-assisted decision-making scenarios
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Designing structured prompts to achieve consistent results
- Effectively utilizing examples, assigned roles, and constraints
- Refining ChatGPT responses through iterative improvement
Integrating ChatGPT with Productivity Suites
- Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Integrating ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting notes, and task tracking
Applications in Agile and Technical Workflows
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective analyses
- Assisting with backlog refinement and task estimation
Collaborative AI Workflows
- Team-based prompting strategies and feedback loops
- Establishing a shared repository for AI knowledge
- Group projects: Simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- Employing ChatGPT as a meeting assistant
- Using ChatGPT as a writing coach
- Leveraging ChatGPT as a brainstorming partner for process optimization
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Generating and refactoring code with ChatGPT
- Utilizing ChatGPT for API documentation and testing scripts
- Applying ChatGPT for SQL query generation and data analysis support
Customizing and Extending ChatGPT
- Creating Custom GPTs for organization-specific requirements
- Utilizing plugins and integrations to expand functionality
- Exploring the OpenAI API for automation and workflow design
Security, Ethics, and Governance
- Establishing corporate policies for AI usage
- Ensuring data security and responsible AI implementation
- Compliance with privacy standards and regulatory requirements
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards
- Integrating ChatGPT with business systems via APIs
- Automation use cases: reporting, data validation, and analytical insights
Capstone Project: AI in Action
- Identifying a real organizational challenge
- Designing and implementing an AI-based solution using ChatGPT
- Presentation and peer feedback
Summary and Next Steps
Requirements
- A solid understanding of general computer operation
- Prior experience with text-based software or office applications
- Familiarity with digital collaboration platforms
Target Audience
- Administrative professionals
- Technical staff members
- 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.
