Practical Prompting and Production

This unit advances students from foundational GenAI concepts to applied creative production, focusing on advanced prompt engineering, model selection, multimodal content creation, and responsible use. Students will troubleshoot integrations, mitigate hallucinations, incorporate citations and ethics, and test market appeal to prepare polished creative deliverables for professional contexts.

Learning Objectives

• Analyze and compare GenAI models, autonomous agent options, and integration approaches to select appropriate tools for specific creative tasks and document trade-offs and implementation steps
• Apply advanced prompt engineering techniques, constraints, and supplemental data to generate coherent long-form, web, image, and audio content that aligns with specified audience, tone, and citation requirements
• Demonstrate responsible AI practices by identifying and mitigating hallucinations or misleading outputs, integrating proper citations and attribution, and addressing software integration or failure scenarios
• Evaluate content readability, engagement, and market appeal using GenAI-assisted testing (e.g., A/B prompts, analytics, and feedback loops) and iterate on creative outputs based on measurable results