Course Outline
Beginner Level – Grasping AI Foundations and Starting 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 contexts and daily life.
Large Language Models (LLMs) and ChatGPT
- How LLMs function and process information.
- Overview of ChatGPT and its primary features.
- Comparison of different ChatGPT versions and their distinct capabilities.
Getting Started with ChatGPT
- Accessing ChatGPT and navigating its user interface.
- Understanding prompts, model responses, and contextual awareness.
- Writing your initial prompts: exploring basic use cases and limitations.
Practical Applications for Daily Tasks
- Utilizing ChatGPT for writing, summarizing content, and brainstorming ideas.
- Generating templates, emails, and reports using ChatGPT.
- Leveraging ChatGPT for scheduling assistance and communication support.
Responsible Use and Best Practices
- Addressing bias, data privacy concerns, and ethical considerations.
- Setting realistic expectations for accuracy and the need for verification.
- Practical exercises: using AI to support decision-making processes.
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent and predictable results.
- Effectively using examples, specific roles, and constraints.
- Refining and improving ChatGPT outputs through iterative feedback.
Integrating ChatGPT with Productivity Tools
- 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
- Creating and refining user stories and acceptance criteria.
- Drafting sprint documentation and retrospective summaries.
- Supporting backlog refinement and task estimation efforts.
Collaborative Workflows with AI
- Fostering team-based prompting and feedback loops.
- Developing a shared organizational knowledge base for AI.
- 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.
- Employing 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 using ChatGPT.
- Leveraging 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.
- Utilizing plugins and integrations to expand functionality.
- Exploring the OpenAI API for custom automation and workflows.
Security, Ethics, and Governance
- Establishing corporate policies for AI usage.
- Ensuring data security and responsible AI implementation.
- Ensuring compliance with privacy laws and regulatory requirements.
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards.
- Integrating ChatGPT with business systems via APIs.
- Automating reports, data validation, and analysis tasks.
Capstone Project: AI in Action
- Identifying a real organizational challenge.
- Designing and implementing an AI-based solution using ChatGPT.
- Presentation of results and peer feedback.
Summary and Next Steps
Requirements
- Basic proficiency in general computer operations.
- Experience using text-based tools or office productivity applications.
- Familiarity with online collaboration platforms.
Target Audience
- Administrative staff and professionals.
- Technical personnel.
- 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.
