Google Developer Program 進階方案提供專屬資源和機會，協助您透過 Google 學習新知、建構內容及拓展業務。瞭解各項福利。
Professional Machine Learning Engineer
專業機器學習工程師會運用 Google Cloud 功能和傳統機器學習方法，來建構、評估並最佳化 AI 解決方案，然後將這些方案發布到正式環境。這類人員負責處理複雜的大型資料集、建立可重複使用的程式碼，以及根據基礎模型來設計並實作生成式 AI 解決方案。為了確保 AI 應用程式能持續發揮良好成效，他們會將負責任的 AI 做法納入考量，與其他工作的負責人員密切合作。機器學習工程師具備紮實的程式設計技能、熟悉資料平台和分散式資料處理工具，並精通模型架構、資料和機器學習管道建立、生成式 AI 和指標解讀等領域。此外，他們還熟悉 MLOps、應用程式開發、基礎架構管理、資料工程和資料治理的基本概念。機器學習工程師能協助組織內的各團隊使用 AI 解決方案，並透過訓練、重新訓練、部署、排程、監控、改良模型，設計並建立可擴充的高效能解決方案。
[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["# Professional ML Engineer Certification\n\nGo further with Google Developer Program premium tier. Gain access to exclusive resources and opportunities to help you learn, build, and grow with Google. [Explore all benefits](https://developers.google.com/profile/u/me/plans-and-pricing?continue=https%3A%2F%2Fwww.cloudskillsboost.google%2Fsubscriptions). \n- [Back to Google Cloud Certification](/certification) \n\nProfessional Machine\nLearning Engineer\n======================================\n\nA Professional Machine Learning Engineer builds, evaluates,\nproductionizes, and optimizes AI solutions by using\nGoogle Cloud capabilities and knowledge of conventional ML approaches.\nThe ML Engineer handles large, complex datasets and creates repeatable,\nreusable code. The ML Engineer designs and operationalizes generative\nAI solutions based on foundational models. The ML Engineer considers\nresponsible AI practices, and collaborates closely with other\njob roles to ensure the long-term success of AI-based applications.\nThe ML Engineer has strong programming skills and experience with data\nplatforms and distributed data processing tools.\nThe ML Engineer is proficient in the areas of model architecture,\ndata and ML pipeline creation, generative AI, and metrics interpretation.\nThe ML Engineer is familiar with foundational concepts of MLOps,\napplication development, infrastructure management, data engineering,\nand data governance. The ML Engineer enables teams across the organization\nto use AI solutions. By training, retraining, deploying, scheduling, monitoring,\nand improving models, the ML Engineer designs and creates scalable, performant solutions.\n\n\\*Note: The exam does not directly assess coding skill.\nIf you have a minimum proficiency in Python and Cloud\nSQL, you should be able to interpret any questions with\ncode snippets.\n\nThe Professional Machine Learning Engineer exam\nassesses your ability to: \n- Architect low-code AI solutions\n- Collaborate within and across teams to manage data and models\n- Scale prototypes into ML models\n- Serve and scale models\n- Automate and orchestrate ML pipelines\n- Monitor AI solutions \n[Register](https://webassessor.com/googlecloud) [View FAQs](https://support.google.com/cloud-certification/#topic=9433215) \n[Register](https://webassessor.com/googlecloud) [View FAQs](https://support.google.com/cloud-certification/#topic=9433215)\nThis version of the Professional Machine Learning Engineer exam covers tasks related to generative AI, including building AI solutions using Model Garden and Vertex AI Agent Builder, and evaluating generative AI solutions.\n\n\u003cbr /\u003e\n\nTo learn more about Google Cloud's generative AI services,\ngo to Google Cloud Skills Boost to see the\n[Introduction to Generative AI Learning Path](https://www.cloudskillsboost.google/journeys/118)\n(all audiences) or the\n[Generative AI for Developers Learning Path](https://www.cloudskillsboost.google/journeys/183?utm_source=cgc&utm_medium=blog&utm_campaign=learngenai)\n(technical audience). If you are a partner, refer to the Gen\nAI partner courses:\n[Introduction to Generative AI Learning Path](https://partner.cloudskillsboost.google/journeys),\n[Generative AI for ML Engineers](https://partner.cloudskillsboost.google/journeys/164),\nand\n[Generative AI for Developers](https://partner.cloudskillsboost.google/journeys/165).\nFor additional learning, refer to product-specific Gen AI\nlearning offerings, such as\n[Explore and Evaluate Models using Model Garden](https://www.cloudskillsboost.google/focuses/71938?catalog_rank=%7B%22rank%22%3A1%2C%22num_filters%22%3A0%2C%22has_search%22%3Atrue%7D&parent=catalog&search_id=40286199),\n[Vertex AI Agent Builder path](https://partner.cloudskillsboost.google/paths/615)\n(partners), and\n[Integrate Search in Applications using Vertex AI Agent Builder](https://www.cloudskillsboost.google/focuses/71943?parent=catalog). \n\nQuick links\n-----------\n\n- [Train for the exam](https://www.cloudskillsboost.google/paths/17)\n- [Review sample questions](https://docs.google.com/forms/d/e/1FAIpQLSeYmkCANE81qSBqLW0g2X7RoskBX9yGYQu-m1TtsjMvHabGqg/viewform)\n- [View exam guide](https://services.google.com/fh/files/misc/professional_machine_learning_engineer_exam_guide_english.pdf)\n- [Partner training for the exam](https://partner.cloudskillsboost.google/paths/84?utm_source=cgc&utm_medium=website&utm_campaign=evergreen&utm_content=partnertrainingpmle)\n- [Join the learning community](https://www.googlecloudcommunity.com/gc/Learning-Certification-Hub/ct-p/cloud-learning-cert-forums)\n\n*** ** * ** ***\n\nAbout this certification exam\n-----------------------------\n\n**Length**: Two hours\n\n**Registration fee**: $200 (plus tax where\napplicable)\n\n**Languages**: English, Japanese\n\n**Exam format:** 50-60 multiple choice and multiple select\nquestions\n\n**Exam delivery method**:\n\na. Take the online-proctored exam from a remote location,\nreview the online testing\n[requirements](https://www.webassessor.com/wa.do?page=certInfo&branding=GOOGLECLOUD&tabs=13).\n\nb. Take the onsite-proctored exam at a testing center,\n[locate a test center near you](https://www.kryteriononline.com/Locate-Test-Center) \n**Prerequisites**: None\n\n**Recommended experience**: 3+ years of industry\nexperience including 1 or more years designing and managing\nsolutions using Google Cloud.\n\n**Certification renewal:** Candidates may renew their certification\nwithin the renewal eligibility period. For more information about the renewal\nprocess, eligibility period, and certification validity timeline, please refer to\nthe Renewal FAQs below.\n\n\n[Renewal FAQs](https://support.google.com/cloud-certification/answer/9907853?sjid=10159424711448208692-NC) \n\nExam overview\n-------------\n\n#### Step 1: Get real world\nexperience\n\nBefore attempting the Machine Learning Engineer exam,\nit's recommended that you have 3+ years of hands-on\nexperience with Google Cloud products and solutions.\nReady to start building? Explore the Google Cloud Free\nTier for free usage (up to monthly limits) of select\nproducts.\n\n\n[Try the Google Cloud Free Tier](/free)\n\n\u003cbr /\u003e\n\n#### Step 2: Understand what's\non the exam\n\nThe exam guide contains a complete list of topics that\nmay be included on the exam. Review the exam guide to\ndetermine if your skills align with the topics on the\nexam.\n\n\n[See current exam guide](https://services.google.com/fh/files/misc/professional_machine_learning_engineer_exam_guide_english_3.1_final.pdf)\n\n\u003cbr /\u003e\n\n#### Step 3: Review the sample\nquestions\n\nFamiliarize yourself with the format of questions and\nexample content that may be covered on the Machine\nLearning Engineer exam.\n\n\n[Review sample questions](https://docs.google.com/forms/d/e/1FAIpQLSeYmkCANE81qSBqLW0g2X7RoskBX9yGYQu-m1TtsjMvHabGqg/viewform)\n\n\u003cbr /\u003e\n\n#### Step 4: Round out your\nskills with training\n\n\u003cbr /\u003e\n\nPrepare for the exam by following the Machine\nLearning Engineer learning path. Explore online\ntraining, in-person classes, hands-on labs, and\nother resources from Google Cloud.\n\n\u003cbr /\u003e\n\n[Start preparing](https://www.cloudskillsboost.google/paths/17) \n\nPrepare for the exam with Googlers and certified\nexperts. Get valuable exam tips and tricks, as well\nas insights from industry experts.\n\n\u003cbr /\u003e\n\n[Sign up](https://cloudonair.withgoogle.com/events/machine-learning-certification?utm_source=google_owned_website&utm_medium=et&utm_campaign=-&utm_content=cgc-cert-mle) \n\nExplore\n[Google Cloud documentation](/docs)\nfor in-depth discussions on the concepts and\ncritical components of Google Cloud.\n\nLearn about designing, training, building,\ndeploying, and operationalizing secure ML\napplications on Google Cloud using the\n[Official Google Cloud Certified Professional Machine Learning Engineer Study Guide](https://www.wiley.com/en-us/Official+Google+Cloud+Certified+Professional+Machine+Learning+Engineer+Study+Guide-p-9781119944461).\nThis guide uses real-world scenarios to demonstrate\nhow to use the Vertex AI platform and technologies\nsuch as TensorFlow, Kubeflow, and AutoML, as well as\nbest practices on when to choose a pretrained or a\ncustom model.\n\n\u003cbr /\u003e\n\n#### Step 5: Schedule an exam\n\n\n[Register and select](https://webassessor.com/googlecloud)\nthe option to take the exam remotely or at a nearby\ntesting center.\n\n\u003cbr /\u003e\n\nReview exam\n[terms and conditions](https://cloud.google.com/certification/terms)\nand\n[data sharing policies](https://cloud.google.com/certification/data-sharing-policy).\n\n\u003cbr /\u003e\n\n### Take the next step\n\nFollow\nthe learning path \n[Start Learning](https://www.cloudskillsboost.google/paths/17) \n\n### Take the next step\n\nFollow\nthe learning path \n[Start Learning](https://www.cloudskillsboost.google/paths/17) \n- Earn a skill badge in machine learning\n [Start now](https://www.cloudskillsboost.google/catalog?keywords=machine+learning&locale=&skill-badge%5B%5D=skill-badge&format%5B%5D=any&language%5B%5D=any)\n- New to Google Cloud?\n [Get started](/training/getstarted)\n- Take a cert prep webinar\n[Watch Cloud OnAir](https://cloudonair.withgoogle.com/events/machine-learning-certification?utm_source=google_owned_website&utm_medium=et&utm_campaign=-&utm_content=cgc-cert-mle) \n- Earn a skill badge in machine learning\n [Start now](https://www.cloudskillsboost.google/catalog?keywords=machine+learning&locale=&skill-badge%5B%5D=skill-badge&format%5B%5D=any&language%5B%5D=any)\n- New to Google Cloud?\n [Get started](/training/getstarted)\n- Take a cert prep webinar\n [Watch Cloud OnAir](https://cloudonair.withgoogle.com/events/machine-learning-certification?utm_source=google_owned_website&utm_medium=et&utm_campaign=-&utm_content=cgc-cert-mle)"]]
