Course Outline
Beginner Level – Foundations of AI and Initial Exploration of ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) in modern contexts
- Core concepts: machine learning, deep learning, and natural language processing
- Observing real-world AI applications across business and daily life
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Decoding the operational mechanics of LLMs
- A detailed overview of ChatGPT’s core capabilities
- Differentiating between various ChatGPT versions and their specific uses
Commencing Your ChatGPT Journey
- Accessing the platform and navigating the user interface
- Comprehending the dynamic between prompts, responses, and model context
- Formulating initial prompts: exploring basic use cases and recognizing limitations
Applying ChatGPT to Daily Operations
- Leveraging ChatGPT for writing, summarization, and creative brainstorming
- Drafting professional templates, emails, and reports using AI assistance
- Utilizing ChatGPT to support scheduling and communication management
Ethical Usage and Professional Standards
- Navigating bias, data privacy, and ethical considerations in AI
- Calibrating expectations regarding accuracy and the need for verification
- Practical session: exercises focused on AI-assisted decision-making
Intermediate Level – Elevating Productivity through ChatGPT
Prompt Engineering and Optimization Strategies
- Structuring prompts to achieve consistent and predictable outcomes
- Effectively utilizing examples, role assignments, and constraints
- Refining ChatGPT outputs through iterative feedback loops
Integrating ChatGPT with Professional Productivity Suites
- Linking ChatGPT with Google Workspace components (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 tools (Word, Excel, Teams)
- Automating routine tasks such as document generation, meeting note-taking, and task tracking
Enhancing Agile and Technical Processes
- Drafting and refining user stories and acceptance criteria
- Generating sprint documentation and retrospective insights
- Supporting backlog refinement and task estimation processes
Fostering Collaborative AI Workflows
- Implementing team-based prompting strategies and feedback cycles
- Developing a shared organizational AI knowledge base
- Group exercises: simulating real-world, AI-assisted task completion
Practical Application Scenarios
- Utilizing ChatGPT as an intelligent meeting assistant
- Employing ChatGPT as a writing coach for clarity and tone
- Partnering with ChatGPT to brainstorm process improvement ideas
Advanced Level – Customization, System Integration, and Governance
AI in Software Development and Data Projects
- Generating and refactoring code snippets using ChatGPT
- Drafting API documentation and testing scripts with AI assistance
- Supporting SQL query generation and data analysis tasks
Customizing and Extending ChatGPT Capabilities
- Developing Custom GPTs tailored to specific organizational needs
- Leveraging plugins and third-party integrations for enhanced functionality
- Utilizing the OpenAI API to drive automation and complex workflows
Security, Ethics, and AI Governance
- Formulating corporate policies for responsible AI usage
- Ensuring data security and ethical implementation of AI solutions
- Meeting compliance standards for privacy and regulatory requirements
Engineering AI-Driven Solutions
- Designing dashboards powered by AI for productivity insights
- Connecting ChatGPT with enterprise business systems via APIs
- Implementing automation for reports, data validation, and deep analysis
Capstone Project: Implementing AI in Practice
- Identifying a specific organizational challenge to address
- Designing and deploying an AI-based solution utilizing ChatGPT
- Presenting findings and receiving peer feedback on the solution
Concluding Summary and Future Directions
Requirements
- A solid foundation in general computer literacy
- Proficiency with text-based tools or standard office applications
- Comfort with online collaboration platforms
Target Audience
- Administrative and support professionals
- Technical personnel and developers
- Project managers and technical staff
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.