Course Outline
Module One: Getting Started
- Housekeeping Items
- The Parking Lot
- Workshop Objectives
- Action Plans and Evaluation Forms
- Pre-Assignment
Module Two: Understanding AI
- Defining Artificial Intelligence
- Machine Learning and Generative AI
- Types of Artificial Intelligence
- Natural Language Processing
- Common AI Terminology
- Practical Illustration
- Module Two: Review Questions
Module Three: How AI Works
- How AI Systems Learn from Data
- How Generative AI Produces Responses
- Patterns, Probabilities, and Predictions
- The Role of Training Data
- AI Versus Human Understanding
- Practical Illustration
- Module Three: Review Questions
Module Four: AI in the Modern Workplace
- Common Workplace Applications
- Tasks AI Can Support
- Tasks That Should Remain Human-Led
- AI as an Assistant
- Opportunities for Improving Productivity
- Practical Illustration
- Module Four: Review Questions
Module Five: Working with Generative AI
- Text, Image, Audio, and Video
- Creating, Summarizing, and Transforming Content
- Using Conversational AI Assistants
- Reviewing and Improving Generated Content
- Understanding the Limits
- Practical Illustration
- Module Five: Review Questions
Module Six: Prompt Engineering
- Writing Clear Instructions
- Providing Context and Background
- Defining the Audience
- Requesting Specific Formats
- Refining Results Through Follow-Up Instructions
- Practical Illustration
- Module Six: Review Questions
Module Seven: Evaluating AI-Generated Information
- Recognizing Inaccurate Information
- Identifying Misleading Responses
- Checking Facts, Sources, and Citations
- Bias and Missing Perspectives
- Applying Professional Judgment
- Practical Illustration
- Module Seven: Review Questions
Module Eight: Responsible AI Use
- Privacy and Confidential Information
- Fairness and Discrimination
- Transparency and Disclosure
- Copyright and Intellectual Property
- Accountability for AI-Assisted Work
- Practical Illustration
- Module Eight: Review Questions
Module Nine: Human Oversight
- Maintaining Human Involvement
- Recognizing Automation Bias
- Reviewing High-Impact Decisions
- Challenging AI Recommendations
- Retaining Responsibility for Final Outcomes
- Practical Illustration
- Module Nine: Review Questions
Module Ten: The Business Impact of AI
- Productivity and Efficiency
- Quality and Consistency
- Customer Experience
- Innovation and New Capabilities
- Costs and Business Considerations
- Practical Illustration
- Module Ten: Review Questions
Module Eleven: Developing Your AI Skills
- Building Confidence Through Practice
- Learning from AI Mistakes
- Expanding Your Skills Gradually
- Transferring AI Skills Between Tools
- Creating an AI Learning Plan
- Practical Illustration
- Module Eleven: Review Questions
Module Twelve: Wrapping Up
- Words from the Wise
- Review of Parking Lot
- Lessons Learned
- Completion of Action Plans and Evaluations
