Course Outline
Foundation Phase – AI Concepts and ChatGPT Onboarding
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in corporate and personal contexts
Large Language Models (LLMs) and ChatGPT
- Mechanisms behind LLM functionality
- Overview of ChatGPT capabilities and core features
- Distinguishing between various ChatGPT versions
ChatGPT Onboarding
- Platform access and interface navigation
- Comprehending prompts, outputs, and model context
- Formulating initial prompts: common use cases and inherent limitations
Practical Applications for Daily Operations
- Leveraging ChatGPT for drafting, summarization, and ideation
- Generating templates, emails, and professional reports
- Supporting scheduling and communication management
Ethical Use and Best Practices
- Navigating bias, data privacy, and ethical considerations
- Calibrating expectations for accuracy and output verification
- Practical session: exercises in AI-assisted decision-making
Progressive Phase – Enhancing Efficiency with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to ensure consistent results
- Strategic use of examples, role assignment, and constraints
- Iterative refinement of ChatGPT responses
ChatGPT Integration with Productivity Suites
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting minutes, and task monitoring
Application in Agile and Technical Processes
- Drafting and refining user stories and acceptance criteria
- Creating sprint documentation and retrospective reports
- Assisting with backlog refinement and task estimation
AI-Enabled Collaborative Workflows
- Team-oriented prompting and feedback loops
- Developing a collective AI knowledge repository
- Group assignment: simulation of real-world AI-assisted tasks
Practical Exercises and Scenarios
- ChatGPT as a virtual meeting assistant
- ChatGPT as a writing mentor
- ChatGPT as a partner for brainstorming process improvements
Expert Phase – Customization, Integration, and Governance
AI in Development and Data Initiatives
- Code generation and refactoring using ChatGPT
- Drafting API documentation and testing scripts
- Support for SQL queries and data analysis tasks
ChatGPT Customization and Extension
- Building Custom GPTs for specific organizational needs
- Leveraging plugins and integrations for advanced features
- Utilizing the OpenAI API for workflow automation
Security, Ethics, and Governance Frameworks
- Formulating corporate AI usage policies
- Ensuring data security and responsible AI deployment
- Adhering to privacy standards and regulatory compliance
Developing AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Integrating ChatGPT with enterprise systems via APIs
- Automation scenarios: reporting, data validation, and analysis
Capstone Project: AI in Practice
- Identifying a specific organizational challenge
- Designing and deploying a ChatGPT-based solution
- Project presentation and peer evaluation
Conclusion and Future Trajectories
Requirements
- Basic proficiency with general computer operations
- Practical experience with text-based utilities or office suites
- Working knowledge of digital collaboration platforms
Intended Audience
- Administrative specialists
- 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.
