Apply Generative AI for Coaching, Research, and Performance

Overview

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.

Syllabus

Foundations of Generative AI for Coaching and Research

This module introduces learners to the fundamentals of generative AI through the lens of personalized coaching and productivity. Learners explore how ChatGPT can be configured, prompted, and applied responsibly to support learning, feedback, and continuous improvement, while also understanding ethical considerations, future trends, and practical challenges. The module concludes by transitioning learners toward AI-assisted research and writing tools.

AI-Powered Research and Writing with Perplexity AI

This module focuses on applying generative AI to research, writing, and performance management. Learners examine how Perplexity AI enhances research efficiency through synthesis and citation-based responses, explore advanced features and limitations, and understand how AI can support modern performance management through engagement, metrics, calibration, and emotionally intelligent insights.

Strategic AI Integration and Advanced Applications

This module explores advanced and strategic applications of generative AI across organizations. Learners focus on AI-enabled goal setting, team dynamics, platform selection, governance, and future trends, while deepening their understanding of Perplexity AI’s professional capabilities and limitations. Emphasis is placed on responsible integration, strategic roadmapping, and sustained value creation.