Course Outline
Beginner Level – Grasping AI Concepts and ChatGPT Fundamentals
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) and its scope.
- Core concepts: machine learning, deep learning, and natural language processing.
- Real-world AI applications in commercial and daily contexts.
Large Language Models (LLMs) and ChatGPT
- Mechanics of how LLMs function.
- Overview of ChatGPT’s core capabilities.
- Differentiating between ChatGPT versions and their features.
Getting Started with ChatGPT
- Accessing ChatGPT and navigating the user interface.
- Understanding prompts, system responses, and model context.
- Crafting initial prompts: exploring basic use cases and inherent limitations.
Practical Applications for Everyday Tasks
- Leveraging ChatGPT for writing, summarizing content, and brainstorming ideas.
- Generating templates, professional emails, and reports.
- Utilizing ChatGPT for scheduling support and communication assistance.
Responsible Use and Best Practices
- Navigating issues of bias, data privacy, and ethical AI usage.
- 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 for consistent, predictable outcomes.
- Effectively utilizing examples, role-play, and constraints.
- Refining ChatGPT responses through iterative feedback loops.
Integrating ChatGPT with Productivity Tools
- Connecting ChatGPT with Google Workspace (Docs, Sheets, Gmail).
- Integrating with Microsoft 365 (Word, Excel, Teams).
- Automating document creation, meeting note-taking, 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 processes.
Collaborative Workflows with AI
- Implementing team-based prompting strategies and feedback cycles.
- Establishing a shared organizational AI knowledge base.
- Group projects: Simulating real-world AI-assisted task execution.
Hands-on Practice and Use Cases
- Utilizing ChatGPT as a virtual meeting assistant.
- Employing ChatGPT as a writing coach and editor.
- Partnering with ChatGPT for process improvement brainstorming.
Advanced Level – Customization, Integration, and Governance
AI Applications in Development and Data Projects
- Generating and refactoring code using ChatGPT.
- Drafting API documentation and writing testing scripts.
- Supporting SQL query generation and data analysis tasks.
Customizing and Extending ChatGPT
- Developing Custom GPTs for specific organizational requirements.
- Leveraging plugins and integrations to enhance functionality.
- Exploring the OpenAI API for advanced automation and workflow design.
Security, Ethics, and Governance
- Formulating corporate AI usage policies and guidelines.
- Implementing data security measures and responsible AI practices.
- Ensuring compliance with privacy standards and regulatory requirements.
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards and interfaces.
- Integrating ChatGPT with enterprise business systems via APIs.
- Developing automation use cases for reporting, data validation, and analysis.
Capstone Project: AI in Action
- Identifying a specific organizational challenge to address.
- Designing and implementing a comprehensive AI-based solution using ChatGPT.
- Presenting findings and incorporating peer feedback.
Summary and Next Steps
Requirements
- Proficiency in general computer navigation and usage.
- Practical experience with text-based applications or standard office suites.
- Working familiarity with digital collaboration platforms.
Target Audience
- Administrative and support professionals.
- Technical personnel and engineers.
- 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.
