Course Outline
Beginner Level – AI Foundations and ChatGPT Essentials
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in business contexts and daily life
Large Language Models (LLMs) and ChatGPT
- Mechanisms behind Large Language Models
- Overview of ChatGPT’s primary capabilities
- Comparison of different ChatGPT versions and their distinctions
Initiating Use of ChatGPT
- Accessing ChatGPT and navigating its user interface
- Comprehending prompts, responses, and model context
- Creating initial prompts: exploring basic use cases and recognizing limitations
Practical Use Cases for Daily Tasks
- Leveraging ChatGPT for writing, summarization, and ideation
- Generating templates, emails, and reports using ChatGPT
- Utilizing ChatGPT for scheduling assistance and communication support
Ethical Use and Best Practices
- Navigating bias, data privacy, and ethical considerations
- Managing expectations regarding accuracy and result verification
- Practical exercise: simulating AI-assisted decision-making
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Refinement
- Structuring prompts to achieve consistent results
- Effective use of examples, roles, and constraints
- Refining ChatGPT outputs through iterative processes
Integrating ChatGPT with Productivity Suites
- Connecting ChatGPT to Google Workspace (Docs, Sheets, Gmail)
- Integrating ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Automating document creation, meeting minutes, and task management
Application in Agile and Technical Processes
- Developing and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective reports
- Supporting backlog refinement and task estimation efforts
Collaborative AI Workflows
- Team-based prompting strategies and feedback loops
- Establishing a shared AI knowledge repository
- Group exercise: simulating real-world AI-assisted tasks
Practical Application and Case Studies
- Using ChatGPT as a meeting assistant
- Employing ChatGPT as a writing coach
- Utilizing ChatGPT as a brainstorming partner for process optimization
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Projects
- Code generation and refactoring with ChatGPT
- Generating API documentation and test scripts using ChatGPT
- Supporting SQL queries and data analysis with ChatGPT
Customizing and Extending ChatGPT
- Developing Custom GPTs for specific organizational needs
- Leveraging plugins and integrations for expanded capabilities
- Utilizing the OpenAI API for automation and workflow management
Security, Ethics, and Governance
- Formulating corporate AI usage policies
- Ensuring data security and responsible AI deployment
- Adhering to privacy and regulatory compliance standards
Developing AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to business systems via APIs
- Automation scenarios: reporting, data validation, and analytical tasks
Capstone Project: AI in Practice
- Identifying a genuine organizational challenge
- Designing and implementing an AI solution using ChatGPT
- Presentation and peer evaluation
Conclusion and Future Steps
Requirements
- Proficiency in general computer operations
- Practical experience with text-based tools or office suites
- Comfort with online collaboration platforms
Target Audience
- Administrative and support staff
- 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.
