Course Outline
Beginner Level – Foundational AI and ChatGPT Essentials
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in business operations and daily life
Large Language Models (LLMs) and ChatGPT
- How LLMs function under the hood
- Key features and capabilities of ChatGPT
- Differences between various ChatGPT versions
Getting Started with ChatGPT
- Accessing the platform and navigating the user interface
- Understanding prompts, generated responses, and model context
- Crafting initial prompts: basic scenarios and potential limitations
Practical Applications for Everyday Tasks
- Leveraging ChatGPT for writing, summarizing content, and brainstorming
- Generating templates, professional emails, and reports
- Using ChatGPT for scheduling support and communication enhancement
Responsible Use and Best Practices
- Navigating bias, data privacy, and ethical considerations
- Establishing realistic expectations for accuracy and verification
- Practical session: exercises in AI-assisted decision-making
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent, predictable results
- Effectively using examples, role assignments, and constraints
- Iteratively refining ChatGPT responses for better quality
Integrating ChatGPT with Productivity Tools
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting notes, and task tracking
Applications in Agile and Technical Workflows
- Drafting and refining user stories and acceptance criteria
- Creating sprint documentation and retrospective summaries
- Supporting backlog refinement and task estimation processes
Collaborative Workflows with AI
- Implementing team-based prompting and feedback loops
- Developing a shared organizational AI knowledge base
- Group activities: simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- ChatGPT as a real-time meeting assistant
- ChatGPT as a personalized writing coach
- 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 snippets
- Creating API documentation and writing testing scripts
- Assisting with SQL query generation and data analysis
Customizing and Extending ChatGPT
- Building Custom GPTs for specific organizational needs
- Leveraging plugins and integrations to expand functionality
- Utilizing the OpenAI API for complex automation and workflows
Security, Ethics, and Governance
- Formulating corporate AI usage policies
- Ensuring data security and responsible AI deployment
- Meeting privacy standards and regulatory compliance requirements
Building AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to core business systems via APIs
- Automation scenarios: report generation, data validation, and analysis
Capstone Project: AI in Action
- Identifying a specific organizational challenge
- Designing and implementing a practical AI-based solution
- Presenting results and receiving peer feedback
Summary and Next Steps
Requirements
- Basic proficiency in general computer operations
- Prior experience with text-based software or office suites
- Comfort with using online collaboration platforms
Target Audience
- Administrative and support professionals
- Technical team 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.
