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.
- Real-world AI applications in business and daily life.
Large Language Models (LLMs) and ChatGPT
- How LLMs operate.
- An overview of ChatGPT and its primary features.
- Exploring different ChatGPT versions and their distinctions.
Getting Started with ChatGPT
- Accessing ChatGPT and navigating its interface.
- Understanding prompts, responses, and model context.
- Crafting initial prompts: basic use cases and limitations.
Practical Applications for Everyday Tasks
- Utilizing ChatGPT for writing, summarizing, and brainstorming.
- Generating templates, emails, and reports using ChatGPT.
- Leveraging ChatGPT for scheduling and communication support.
Responsible Use and Best Practices
- Addressing bias, data privacy, and ethical considerations.
- Setting appropriate expectations for accuracy and verification.
- Practical exercises involving AI-assisted decision-making.
Intermediate Level – Boosting Productivity with ChatGPT
Prompt Engineering and Optimization
- Designing structured prompts to achieve predictable outcomes.
- Effectively using examples, roles, and constraints.
- Refining and improving ChatGPT responses through iterative processes.
Integrating ChatGPT with Productivity Tools
- Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail).
- Integrating ChatGPT with Microsoft 365 (Word, Excel, Teams).
- Automating document generation, meeting notes, and task tracking.
Applications in Agile and Technical Workflows
- Generating and refining user stories and acceptance criteria.
- Drafting sprint documentation and retrospective summaries.
- Assisting with backlog refinement and task estimation.
Collaborative Workflows with AI
- Facilitating team-based prompting and feedback cycles.
- Building a shared organizational knowledge base for AI.
- Group projects: simulating real-world AI-assisted tasks.
Hands-on Practice and Use Cases
- Using ChatGPT as a meeting assistant.
- Utilizing ChatGPT as a writing coach.
- Engaging ChatGPT as a brainstorming partner for process improvement.
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Generating and refactoring code with ChatGPT.
- Using ChatGPT for API documentation and testing scripts.
- Applying ChatGPT for SQL queries and data analysis support.
Customizing and Extending ChatGPT
- Creating Custom GPTs tailored to specific organizational needs.
- Leveraging plugins and integrations to enhance functionality.
- Exploring the OpenAI API for automation and workflow integration.
Security, Ethics, and Governance
- Establishing corporate policies for AI usage.
- Ensuring data security and responsible AI implementation.
- Compliance with privacy laws and regulatory requirements.
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards.
- Integrating ChatGPT with business systems via APIs.
- Implementing automation use cases: reports, data validation, and analysis.
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
- Basic proficiency in computer usage
- Experience utilizing text-based tools or office applications
- Familiarity with 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.
