What you will learn / 學習目標
視覺一致性控制
Master standard guidelines to control AI image generators (Stable Diffusion, Midjourney) for accurate color and style outputs.
語調與文字合規
Establish parameters for LLMs to generate text that maintains an intellectual, refined brand voice.
源頭提示詞工程防線
Implement negative prompts and default system roles to filter out low-end creative drafts.
人機協作審核機制
Define auditing workflows to review, modify, and approve AI-generated assets safely before launch.
Target Audience / 課程受眾
👤
Brand Managers / 品牌經理
需管理 AI 生成素材、維護企業長線品牌溢價與一致性的主管。
🎨
Design Directors / 設計總監
面臨大量 AI 創作浪潮，需為模型輸出制定客觀視覺標準的設計領導。
✍️
Content Strategists / 內容專家
希望利用提示詞工程（Prompting）鎖定 AI 語氣的文字創作者。
Professional Skills / 核心技能
Brand Governance
Prompt Constraints
Visual Audit
Style Guide Control
Semantic Consistency
Curriculum / 課程大綱
01
AI 時代下的品牌一致性危機與挑戰 / Brand Crisis
Why unmoderated AI output can easily dilute corporate assets.
02
定義 AI 的色彩與排版邊界 / Designing the Guardrails
Setting strict negative prompts and temperature parameters.
03
語調訓練：為 AI 建立標準品牌語氣 / Brand Voice Training
Fine-tuning large language models to sound refined and elegant.
04
建立人機協作審核與安全分流流程 / Audit Workflows
Standard operating procedures for human audit of AI creations.
Recommended Path / 延伸學習路徑
Next Step
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MKT-AI-40
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學習 AI 生成圖像的版權、法律侵權與潛在肖像合規風險。
Deep Dive
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MKT-AI-43
Brand Voice Modeling for Enterprise AI
技術進階：如何為企業專屬的大模型進行微調與品牌語氣對齊。
Quality Boost
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學習將品牌語音模型應用於日常營銷文案，消除 AI 腔調。