Learn AI persona engineering and prompt engineering frameworks to design conversational AI assistants with consistent identities, structured responses, and adaptive communication styles.
Designed for professionals interested in conversational AI and human-centered AI design, this course explores persona architecture, behavioral boundaries, CoStar prompting, output formatting, cognitive models, memory, and planning. You'll learn how lexical constraints and dynamic tone modulation help maintain identity consistency across user interactions. Examine personality traits, including openness and conscientiousness, to create natural, audience-focused conversations. Explore fine-tuning and human feedback for persona alignment, then evaluate AI assistant performance using vocabulary adherence, tone stability, and instruction-following metrics. Customer success and healthcare examples illustrate industry-specific requirements and safety considerations. By the end of this course, you'll be able to outline AI persona specifications, select prompt design controls, analyze personality settings, and propose measurable evaluation criteria. What makes this course distinctive is its combination of structured prompt frameworks, cognitive design, human-centered communication, and performance evaluation to support consistent, context-aware AI interactions.













