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Coursera

Optimize Your Wellness with AI Features

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Overview

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Get more from your AI-powered wellness tools by understanding how they actually work—and how to make them work better for YOU. You'll learn to evaluate app features to tell simple automation from genuine AI personalization, setting realistic expectations and choosing tools that truly adapt. Discover how your mood entries become training data that powers predictions, and apply a practical framework for knowing when to trust forecasts versus when to question them. Most importantly, you'll master the feedback loop: prompting AI effectively, evaluating recommendations critically, and recording choices that continuously improve personalization. Through realistic role plays and coach dialogues, you'll practice these skills in scenarios you'll actually encounter. Designed for anyone using wellness apps who wants to get more value from AI features while maintaining control over their wellness journey. No technical background required.

Syllabus

  • Introduction
    • Get more from your AI-powered wellness tools by understanding how they actually work—and how to make them work better for YOU. You'll learn to evaluate app features to tell simple automation from genuine AI personalization, setting realistic expectations and choosing tools that truly adapt. Discover how your mood entries become training data that powers predictions, and apply a practical framework for knowing when to trust forecasts versus when to question them. Most importantly, you'll master the feedback loop: prompting AI effectively, evaluating recommendations critically, and recording choices that continuously improve personalization. Through realistic role plays and coach dialogues, you'll practice these skills in scenarios you'll actually encounter. Designed for anyone using wellness apps who wants to get more value from AI features while maintaining control over their wellness journey. No technical background required.
  • Understanding AI Wellness Features: From Rules to Personalization
    • Learn to distinguish between rules-based features (fixed automation like daily reminders) and AI-driven features (adaptive systems that learn from your behavior) so you can set realistic expectations. Understand how supervised learning uses your mood data to power predictions, enabling you to provide quality training data and interpret forecasts critically.
  • Optimizing Recommendations: Prompting, Evaluating, and Providing Feedback
    • Master the complete feedback loop that optimizes AI recommendations for YOUR wellness journey. Learn how recommendation systems personalize suggestions, then develop essential skills: prompting AI tools effectively, critically evaluating whether recommendations fit your needs, and recording choices that continuously improve personalization.
  • Conclusion

Taught by

John Whitworth

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