Course Outline
Foundation Level – Grasping AI and Initializing with ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in corporate settings and daily life
Large Language Models (LLMs) and the ChatGPT Ecosystem
- Mechanics of how LLMs function
- Overview of ChatGPT’s primary capabilities
- Comparison of different ChatGPT versions and their distinct features
Initiating ChatGPT Usage
- Accessing the platform and navigating the user interface
- Comprehending prompts, model responses, and contextual awareness
- Creating initial prompts: exploring basic scenarios and recognizing limitations
Applying AI to Daily Tasks
- Leveraging ChatGPT for composition, summarization, and ideation
- Generating templates, email drafts, and professional reports
- Utilizing ChatGPT to support scheduling and communication tasks
Ethical Usage and Best Practices
- Navigating bias, data privacy, and ethical considerations
- Setting realistic expectations for accuracy and validating outputs
- Practical exercises: Applying AI to assist in decision-making
Intermediate Level – Enhancing Efficiency with ChatGPT
Prompt Engineering and Refinement
- Constructing structured prompts to achieve consistent results
- Strategic use of examples, role assignments, and constraints
- Iterative improvement and fine-tuning of ChatGPT outputs
ChatGPT Integration with Productivity Suites
- Synchronizing ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Connecting ChatGPT to Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting minutes, and task management
AI in Agile and Technical Processes
- Formulating and polishing user stories and acceptance criteria
- Drafting sprint documentation and retrospective analyses
- Supporting backlog refinement and estimating task effort
Collaborative AI Workflows
- Team-oriented prompting strategies and feedback loops
- Developing a collective AI knowledge repository
- Group simulations: Applying AI assistance to realistic task scenarios
Practical Exercises and Scenario Applications
- Using ChatGPT as a virtual meeting assistant
- Employing ChatGPT as a writing mentor
- Leveraging ChatGPT as a partner for process optimization
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Analytics
- Generating and refactoring code using ChatGPT
- Creating API documentation and writing test scripts
- Utilizing ChatGPT for SQL query construction and data analysis support
Tailoring and Expanding ChatGPT Capabilities
- Building Custom GPTs for specific organizational needs
- Incorporating plugins and integrations for advanced features
- Exploring the OpenAI API for workflow automation
Security, Ethics, and Regulatory Compliance
- Formulating corporate policies for AI usage
- Ensuring data security and responsible AI deployment
- Adhering to privacy standards and regulatory mandates
Developing AI-Powered Solutions
- Designing productivity dashboards driven by AI
- Linking ChatGPT with enterprise systems through APIs
- Automation scenarios: Report generation, data validation, and analysis
Capstone Project: Putting AI to Work
- Identifying a genuine organizational challenge
- Architecting and implementing an AI solution with ChatGPT
- Presentation of findings and peer review
Course Wrap-up and Future Directions
Requirements
- Proficiency in general computer operations
- Experience with text-based software or office productivity suites
- Comfort using online collaboration platforms
Target 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.
