Generative AI for Coaching, Research, and Performance

By completing this course, learners will be able to apply generative AI tools for personalized coaching, analyze AI-assisted research and writing workflows, and evaluate strategic applications of AI in performance management and organizational decision-making. This course provides a comprehensive, practice-oriented exploration of generative AI across three critical domains: coaching and productivity, research and writing, and performance management. Learners begin by mastering ChatGPT fundamentals, including configuration, prompt engineering, ethical considerations, and real-time feedback for continuous improvement. The course then advances into AI-powered research and writing, with a deep focus on Perplexity AI—covering synthesis, citation-based research, advanced features, and practical limitations. Finally, learners examine how generative AI transforms performance management through goal setting, OKRs, employee engagement, calibration, ROI evaluation, and strategic AI integration. What makes this course unique is its end-to-end perspective: it moves beyond tool demonstrations to connect AI capabilities with human judgment, emotional intelligence, and organizational strategy. Through structured modules, practice quizzes, and graded assessments, learners gain not only technical proficiency but also the critical thinking skills needed to use AI responsibly and effectively in real-world professional contexts. This course is ideal for professionals, educators, researchers, and leaders seeking to leverage generative AI for measurable impact and long-term value

• Apply generative AI tools for personalized coaching, research, and writing
• Analyze AI-generated insights to support performance and decision-making
• Evaluate ethical and strategic AI use in organizations

• Basic computer and internet skills
• Ability to follow course instructions in English and complete short exercises