Course Outline
Beginner Level – Comprehending AI 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 and daily life
Large Language Models (LLMs) and ChatGPT
- Understanding the mechanics of LLMs
- Overview of ChatGPT and its primary features
- Examining different versions of ChatGPT 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 identifying limitations
Practical Applications for Daily Tasks
- Utilizing ChatGPT for writing, summarizing, and ideation
- Creating templates, emails, and reports using ChatGPT
- Leveraging ChatGPT for scheduling and communication assistance
Responsible Usage and Best Practices
- Understanding bias, data privacy, and ethical considerations
- Setting realistic expectations for accuracy and verification
- Hands-on practice: Exercises in AI-assisted decision-making
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Designing structured prompts for consistent results
- Effectively using examples, roles, and constraints
- Refining ChatGPT responses through iterative improvement
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
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective insights
- Assisting with backlog refinement and task estimation
Collaborative Workflows with AI
- Team-based prompting and feedback loops
- Developing a shared AI knowledge base
- Group projects: Simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- ChatGPT as a meeting assistant
- ChatGPT as a 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 with ChatGPT
- Using ChatGPT for API documentation and test scripts
- Applying ChatGPT for SQL queries and data analysis support
Customizing and Extending ChatGPT
- Creating Custom GPTs for organization-specific needs
- Utilizing plugins and integrations for advanced functionality
- Exploring the OpenAI API for automation and workflow management
Security, Ethics, and Governance
- Establishing corporate AI usage policies
- Data security and responsible AI implementation
- Ensuring compliance with privacy and regulatory standards
Building AI-Driven Solutions
- Designing AI-powered productivity dashboards
- Integrating ChatGPT with business systems via APIs
- Automation use cases: Reporting, 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 review
Summary and Next Steps
Requirements
- Proficiency in general computer operations
- Experience using text-based tools or office applications
- Familiarity with online collaboration platforms
Target Audience
- Administrative professionals
- Technical staff
- 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.
