The rise of artificial intelligence is transforming the way organizations operate, compete, and grow. What was once considered an emerging technology is now becoming part of everyday business. AI is changing how people work, communicate, solve problems, and make decisions. As its capabilities continue to advance, organizations will need employees who understand how to use AI effectively while also recognizing its limitations. The rise of AI brings new opportunities for greater efficiency and innovation, but also raises important questions around accuracy, privacy, ethics, and accountability.

The Navigating Artificial Intelligence with Confidence course will provide participants with a foundation for understanding AI and its role in a professional environment. Participants will explore key concepts of artificial intelligence and examine ways that it can be applied to everyday tasks. Additionally, they will also learn how to evaluate AI-generated information and use it responsibly. Through the gain of these skills, participants will be better prepared to adapt as artificial intelligence continues to evolve and use these skills confidently in an increasingly AI-enabled workplace.

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Everything you need to teach a one-day workshop for Navigating Artificial Intelligence with Confidence:

Training Manuals	PowerPoint Slides
Instructor's Guide	Quick Reference Job Aids
Icebreakers, Activities,  & Exercise Files	Pre-Assignments, Pre-/Post-Assessments
Promotional Advertorials	Lesson Plans with Flip Chart Notes

Also available: training video clips, editable books, audiobook workshops, e-learning, and cloud-based LMS.

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Navigating Artificial Intelligence with Confidence Course Outline:

Module One: Getting Started Housekeeping Items The Parking Lot Workshop Objectives 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