Course Outline
Beginner Level – AI Foundations and ChatGPT Introduction
Introduction to Artificial Intelligence
- Defining Artificial Intelligence (AI) and its scope
- Core concepts: machine learning, deep learning, and natural language processing
- Practical AI applications in commercial and daily contexts
Large Language Models (LLMs) and ChatGPT
- How Large Language Models operate internally
- An overview of ChatGPT and its primary features
- Comparing different ChatGPT versions and their unique capabilities
Getting Started with ChatGPT
- Accessing the platform and navigating the user interface
- Comprehending prompts, generated responses, and model context
- Creating initial prompts: exploring basic use cases and inherent limitations
Practical Applications for Daily Tasks
- Leveraging ChatGPT for drafting, summarizing, and ideation
- Generating templates, professional emails, and reports
- Utilizing ChatGPT to support scheduling and communication tasks
Responsible Usage and Best Practices
- Awareness of bias, data privacy, and ethical considerations
- Setting realistic expectations for accuracy and verifying outputs
- Practical session: exercises in AI-assisted decision-making
Intermediate Level – Enhancing Productivity with ChatGPT
Prompt Engineering and Optimization
- Constructing structured prompts to achieve consistent results
- Effectively utilizing examples, role assignments, and constraints
- Refining ChatGPT outputs through iterative improvement
Integrating ChatGPT with Productivity Tools
- Linking ChatGPT with Google Workspace (Docs, Sheets, Gmail)
- Combining ChatGPT with Microsoft 365 (Word, Excel, Teams)
- Streamlining document creation, meeting notes, and task monitoring
Applications in Agile and Technical Workflows
- Creating and refining user stories and acceptance criteria
- Drafting sprint documentation and retrospective summaries
- Supporting backlog refinement and task estimation processes
Collaborative Workflows with AI
- Team-based prompting strategies and feedback loops
- Developing a shared repository of AI knowledge
- Group exercises: simulating real-world AI-assisted tasks
Hands-on Practice and Use Cases
- Employing ChatGPT as a meeting assistant
- Using ChatGPT as a writing coach
- Partnering with ChatGPT for brainstorming process improvements
Advanced Level – Customization, Integration, and Governance
AI Applications 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 Extending ChatGPT
- Building Custom GPTs for organization-specific needs
- Leveraging plugins and integrations to expand functionality
- Exploring the OpenAI API for automation and workflow integration
Security, Ethics, and Governance
- Formulating corporate policies for AI usage
- Ensuring data security and responsible AI deployment
- Adhering to privacy standards and regulatory requirements
Building 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: AI in Action
- Identifying a genuine organizational challenge
- Designing and implementing an AI-based solution with ChatGPT
- Presenting findings and receiving peer feedback
Summary and Future Pathways
Requirements
- A solid grasp of general computer operations
- Proficiency with text-based software or office applications
- Knowledge of online collaboration platforms
Target Audience
- Administrative specialists
- Technical personnel
- Project managers and developers
Testimonials (1)
Able to pivot upon audience suggestions - ie able to create a real AI agent scenario on the spot.
