Course Outline
Beginner Level – Understanding AI and Getting Started with ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI).
- Key concepts: machine learning, deep learning, and natural language processing.
- Real-world AI applications in business and daily life.
Large Language Models (LLMs) and ChatGPT
- Understanding the mechanics behind LLMs.
- Overview of ChatGPT and its core functionalities.
- Exploring different ChatGPT versions and their distinctions.
Getting Started with ChatGPT
- Accessing ChatGPT and navigating the user interface.
- Understanding prompts, responses, and model context.
- Crafting initial prompts: basic use cases and inherent limitations.
Practical Applications for Everyday Tasks
- Utilising ChatGPT for writing, summarising, and brainstorming.
- Creating templates, emails, and reports using ChatGPT.
- Applying ChatGPT for scheduling and communication support.
Responsible Use and Best Practices
- Understanding bias, data privacy, and ethical considerations.
- Setting realistic expectations for accuracy and verification.
- Hands-on practice: AI-assisted decision-making exercises.
Intermediate Level – Boosting Productivity with ChatGPT
Prompt Engineering and Optimization
- Designing structured prompts to achieve predictable outcomes.
- Effective use of examples, roles, and constraints.
- Iterating to improve and refine ChatGPT responses.
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 retrospectives.
- Assisting with backlog refinement and task estimation.
Collaborative Workflows with AI
- Team-based prompting and feedback cycles.
- Building a shared AI knowledge base.
- Group projects: real-world AI-assisted task simulation.
Hands-on Practice and Use Cases
- ChatGPT as a meeting assistant.
- ChatGPT as a writing coach.
- 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 for organisation-specific use cases.
- Utilising plugins and integrations for enhanced functionality.
- Exploring the OpenAI API for automation and workflows.
Security, Ethics, and Governance
- Establishing corporate AI usage policies.
- Data security and responsible AI implementation.
- Compliance with privacy and regulatory requirements.
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards.
- Integrating ChatGPT with business systems via APIs.
- Automation use cases: reports, data validation, and analysis.
Capstone Project: AI in Action
- Defining a real organisational 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 usage.
- Experience with 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.
