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This lecture preview from *Vanderbilt University’s Generative AI Strategic Leader Specialization* shows how the *Persona Pattern* in prompt engineering unlocks complex LLM capabilities—so outputs look and reason like a domain expert. See a real “act as a speech-language pathologist” example and learn why structure, assumptions, and human judgment matter for reliable results. Continue learning with the full course to master prompt patterns, agentic workflows, and research-grade prompting for faster, higher-quality outcomes across your organization. Included with Coursera Plus. Start here → https://bit.ly/3XBUtTL Chapters 00:00 – Why prompt engineering matters 00:18 – Complex LLM capabilities (ChatGPT & others) 00:20 – Patterns: the key to better prompts 00:42 – Introducing the Persona Pattern 01:06 – “Act as…” to tap expertise 01:31 – Example setup: speech-language pathologist 01:56 – Sample input: “I meed way woy” 02:58 – Model output: assessment-style report 03:44 – Phonological/articulation errors explained 04:52 – Syllable structure & cluster reduction 05:28 – Limits, assumptions, and human review 06:29 – Augmentation vs. replacement (human-in-the-loop) 07:17 – Takeaway: structure prompts to shape expert output Build strategic GenAI skills with Vanderbilt: *Generative AI Strategic Leader Specialization* — master prompt engineering, deep research, and AI agents to transform decision-making: https://bit.ly/3XBUtTL #VanderbiltUniversity #Coursera #PromptEngineering #GenerativeAI #ChatGPT #AIatWork #LLM #AIResearch #Productivity #Leadership
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