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Professional Machine Learning Engineer
Professional Machine Learning Engineer 使用 Google Cloud 功能和传统机器学习方法知识来构建、评估、生产化和优化 AI 解决方案。
ML Engineer 负责处理大型复杂数据集，并创建可重复、可重用的代码。ML Engineer 负责基于基础模型设计和实施生成式 AI 解决方案。ML Engineer 会考虑 Responsible AI 实践，并与其他职位密切合作，以确保基于 AI 的应用取得长期成功。
ML Engineer 需要具备出色的编程技能，并熟悉数据平台和分布式数据处理工具。
ML Engineer 精通模型架构、数据和机器学习流水线创建、生成式 AI 以及指标解读等领域。ML Engineer 熟悉 MLOps、应用开发、基础架构管理、数据工程和数据治理的基础概念。ML Engineer 帮助组织内的各个团队使用 AI 解决方案。通过训练、重新训练、部署、安排、监控和改进模型，ML Engineer 可以设计和创建可扩缩的高性能解决方案。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","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)"]]
