Google AI 生態實戰

模組詳細介紹

目標：本模組旨在讓學員全面掌握 Google AI 的強大工具集，包括 Gemini、NotebookLM（部分功能將在模組三深入）、Canvas、Storybook 和 Flow 等。透過實際操作，學員將能將這些工具融入日常工作流，提升效率與內容產出品質。

課程承諾：你將學會如何運用 Google AI 的各項功能，從資料蒐集、內容生成到應用部署，讓你成為 Google AI 的熟練駕馭者。

反差敘事：當別人還在手動搜尋資料耗費數小時時，你已能用 Deep Research 在 5 分鐘內生成一份報告；當別人為簡報找圖排版焦頭爛額時，你已能用 AI 生圖工作流高效產出視覺內容。你將用 Google AI 實現從想法到實踐的極速轉換。

教學風格定位：本課程重實作，並注入思維深度，不僅教授工具操作，更傳遞「為什麼」要這樣做的底層邏輯。

實作練習：用 Gemini 做一份 Deep Research 報告 + 配套資訊圖表。

為什麼是這個順序？

本模組從基礎設定開始，確保學員能順暢地與 Google AI 互動。接著逐步深入資料蒐集（Deep Research）、視覺內容生成（AI 生圖工作流），再到更進階的功能應用（Storybook, Gem, OPAL），最後則引導學員學習如何將想法轉化為實際應用（Canvas, Vibe Coding, GAS 部署）。這樣的順序設計由淺入深，從基本操作到複雜應用，幫助學員系統性地建立 Google AI 技能棧。

教學設計重點

1. 「金句驅動」開場法：每個章節都會使用一句從精華影片中摘取的金句作為開場引導，迅速抓住學員注意力。
2. 「原作者式」的反差教學：課程設計借鑒了「原作者」頻道影片的標題模式，透過反差敘事（如「別人在…你卻在…」）來凸顯學習價值與差異性。
3. 教學節奏：注重示範、學員實際操作、再進行改進的循環節奏，確保學員能真正動手實踐，而非僅限於觀看演示。

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Module Introduction

Goal: This module aims to equip learners with a comprehensive mastery of Google AI’s powerful toolkit, including Gemini, NotebookLM (some features will be explored in Module 3), Canvas, Storybook, and Flow. Through hands-on practice, learners will integrate these tools into their daily workflows, enhancing efficiency and content production quality.

Course Commitment: You will learn how to leverage various Google AI functionalities, from data collection and content generation to application deployment, becoming a proficient Google AI user.

Contrastive Narrative: While others are still spending hours on manual data searching, you will be able to generate a report with Deep Research in 5 minutes. While others are struggling with presentation design and image selection, you will efficiently produce visual content using AI image generation workflows. You will use Google AI to achieve rapid transformation from idea to implementation.

Teaching Style Positioning: This course emphasizes hands-on practice while instilling deep analytical thinking. It goes beyond mere tool operation to convey the “why” behind effective AI usage.

Practical Exercise: Use Gemini to create a Deep Research report + accompanying infographics.

Why This Order?

This module begins with fundamental setups to ensure learners can interact smoothly with Google AI. It then gradually delves into data collection (Deep Research), visual content generation (AI Image Generation Workflow), and more advanced functional applications (Storybook, Gem, OPAL). Finally, it guides learners on how to transform ideas into practical applications (Canvas, Vibe Coding, GAS Deployment). This sequential design, from basic operations to complex applications, helps learners systematically build their Google AI skill set.

Key Teaching Design Points

1. “Quote-Driven” Opening: Each chapter uses a powerful quote extracted from highlight videos to quickly capture learner attention.
2. “Original Creator-Style” Contrastive Teaching: The course design draws inspiration from the “Original Creator” channel’s video title patterns, using contrastive narratives (e.g., “While others are… you are…”) to emphasize learning value and differentiation.
3. Teaching Rhythm: Focuses on a cyclical rhythm of demonstration, hands-on learner practice, and refinement, ensuring learners actively engage in practical application rather than just watching demonstrations.