後續步驟
恭喜您完成本單元！
建議您探索各種 MLCC 模組 並依自己的步調和興趣如果要按照建議的順序 建議您前往下一個單元： Auto ML：
實際工作環境機器學習系統：測試學到的知識
除非另有註明，否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權，程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間：2025-07-27 (世界標準時間)。
[null,null,["上次更新時間：2025-07-27 (世界標準時間)。"],[[["\u003cp\u003eTest your Production ML Systems knowledge with a quiz and earn a badge.\u003c/p\u003e\n"],["\u003cp\u003eExplore further Machine Learning Crash Course modules, with AutoML recommended as a next step.\u003c/p\u003e\n"]]],[],null,["# Production ML systems: Test your knowledge\n\n| Take this quiz to test your knowledge of production ML systems and earn the Production ML Systems badge! \n| [Open quiz](/machine-learning/crash-course/production-ml-systems/quiz)\n\nWhat's next\n-----------\n\nCongratulations on finishing this module!\n\nWe encourage you to explore the various [MLCC modules](/machine-learning/crash-course)\nat your own pace and interest. If you'd like to follow a recommended order,\nwe suggest that you move to the following module next:\n**[Auto ML](/machine-learning/crash-course/automl)**.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]