Course Outline
Beginner Level – AI Foundations and ChatGPT Introduction
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI)
- Core concepts: machine learning, deep learning, and natural language processing
- Applications of AI in business contexts and daily life
Large Language Models (LLMs) and ChatGPT
- Mechanics of how LLMs function
- Overview of ChatGPT and its primary capabilities
- Comparison of different ChatGPT versions and their distinctions
Starting with ChatGPT
- Accessing ChatGPT and navigating the user interface
- Comprehending prompts, outputs, and model context
- Creating initial prompts: exploring basic use cases and inherent limitations
Practical Uses for Daily Tasks
- Leveraging ChatGPT for writing, summarizing, and ideation
- Generating templates, emails, and reports using ChatGPT
- Applying ChatGPT for scheduling support and communication enhancement
Ethical Use and Best Practices
- Understanding bias, data privacy, and ethical responsibilities
- Managing expectations regarding accuracy and verifying outputs
- Practical exercises: making decisions with AI assistance
Intermediate Level – Enhancing Efficiency with ChatGPT
Prompt Engineering and Optimization
- Structuring prompts to achieve consistent and predictable results
- Effective use of examples, role assignments, and constraints
- Refining ChatGPT responses through iterative adjustments
Integrating ChatGPT with Productivity Suites
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Integrating ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Streamlining document creation, meeting notes, and task management
AI in Agile and Technical Processes
- Generating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective notes
- Supporting backlog refinement and task estimation processes
Collaborative AI Workflows
- Team-based prompting strategies and feedback loops
- Developing a shared repository of AI knowledge
- Group exercises: simulating real-world AI-assisted tasks
Practical Application and Case Studies
- Using ChatGPT as a meeting assistant
- Leveraging ChatGPT as a writing coach
- Partnering with ChatGPT for process improvement ideation
Advanced Level – Customization, Integration, and Governance
AI in Development and Data Projects
- Generating and refactoring code using ChatGPT
- Utilizing ChatGPT for API documentation and writing test scripts
- Applying ChatGPT for SQL query generation and data analysis support
Customizing and Extending ChatGPT Capabilities
- Building Custom GPTs tailored to organizational needs
- Leveraging plugins and integrations for expanded functionality
- Exploring the OpenAI API for automation and workflow integration
Security, Ethics, and Governance Frameworks
- Establishing corporate policies for AI usage
- Ensuring data security and responsible AI implementation
- Maintaining compliance with privacy laws and regulatory standards
Creating AI-Driven Solutions
- Designing productivity dashboards powered by AI
- Connecting ChatGPT to business systems through APIs
- Automation scenarios: report generation, data validation, and analysis
Capstone Project: Applying AI in Practice
- Identifying a genuine organizational challenge
- Designing and deploying an AI-based solution utilizing ChatGPT
- Presentation of findings and peer review
Conclusion and Future Directions
Requirements
- General proficiency in computer operations
- Practical experience with text-based software or office applications
- Knowledge of online collaboration platforms
Target Audience
- Administrative 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.
