Course Outline
Beginner Level – AI Foundations and Introduction to ChatGPT
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in corporate and daily contexts
Large Language Models (LLMs) and ChatGPT
- Deciphering the mechanics of LLMs
- An overview of ChatGPT’s primary capabilities
- Comparing different ChatGPT versions and their distinct features
Initial Steps with ChatGPT
- Navigating the ChatGPT interface and access protocols
- Understanding the dynamics of prompts, responses, and model context
- Creating initial prompts: exploring basic use cases and identifying limitations
Practical Uses for Daily Tasks
- Leveraging ChatGPT for drafting, summarization, and ideation
- Generating templates, professional emails, and reports via ChatGPT
- Utilizing ChatGPT to support scheduling and communication management
Ethical Use and Best Practices
- Addressing bias, data privacy, and ethical considerations
- Establishing realistic expectations for accuracy and verification
- Practical sessions: exercises in AI-assisted decision-making
Intermediate Level – Enhancing Efficiency with ChatGPT
Prompt Engineering and Refinement
- Structuring prompts to achieve consistent and predictable results
- Effective use of examples, roles, and constraints
- Iteratively improving and refining ChatGPT outputs
Integrating ChatGPT into Productivity Suites
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Incorporating ChatGPT into Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting summaries, and task monitoring
Application in Agile and Technical Processes
- Drafting and refining user stories and acceptance criteria
- Creating sprint documentation and retrospective notes
- Supporting backlog refinement and task estimation
Collaborative AI Workflows
- Facilitating team-based prompting and feedback loops
- Establishing a shared organizational AI knowledge repository
- Group exercises: simulating real-world AI-assisted tasks
Practical Exercises and Scenarios
- Using ChatGPT as a meeting assistant
- Employing ChatGPT as a writing coach
- Leveraging ChatGPT as a brainstorming partner for process optimization
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Projects
- Generating and refactoring code using ChatGPT
- Utilizing ChatGPT for API documentation and test scripts
- Applying ChatGPT to support SQL queries and data analysis
Customizing and Expanding ChatGPT Capabilities
- Developing Custom GPTs for organization-specific needs
- Leveraging plugins and integrations for extended functionality
- Exploring the OpenAI API for automation and workflow design
Security, Ethics, and Governance
- Formulating corporate AI usage policies
- Ensuring data security and responsible AI deployment
- Maintaining compliance with privacy and regulatory standards
Developing AI-Driven Solutions
- Designing AI-powered productivity dashboards
- Connecting ChatGPT to enterprise systems via APIs
- Automation scenarios: reporting, data validation, and analysis
Capstone Project: AI in Practice
- Identifying a specific organizational challenge
- Designing and implementing an AI-based solution leveraging ChatGPT
- Presenting findings and gathering peer feedback
Summary and Future Directions
Requirements
- Basic proficiency with general computer operations
- Prior experience using text-based software or office suites
- Knowledge of digital collaboration platforms
Target Audience
- Administrative and support professionals
- 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.
