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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gcp-machine-learning-engineer-professional-practice-tests-n/
课程评论：没有评论
课程名称：GCP机器学习工程师专业 - 练习测试 概述：本课程是一个练习测试包，包含110个与官方考试类似的练习题。这些问题基于谷歌云平台（Google Cloud Platform）的机器学习工程师考试，并提供完整的答案解析。此外，课程提供链接到官方谷歌云文档，方便进一步研究答案。 购买本练习测试，您将获得： 1. 对基于官方谷歌云大纲的更新问题的终身访问 2. 来自专家的积极支持以及大量学生的资源 3. 答案的完整解释 专业机器学习工程师设计、构建和生产机器学习模型，以利用谷歌云技术解决商业挑战。他们在整个机器学习开发过程中考虑负责任的人工智能，并与其他角色密切合作，以确保模型的长期成功。机器学习工程师需熟练掌握模型架构、数据管道交互、指标解释等各个方面，并熟悉应用开发、基础设施管理、数据工程和数据治理的基本概念。通过对模型训练、再训练、部署、调度、监控和改进的理解，机器学习工程师能够设计和创建可扩展的解决方案，以实现最佳性能。 专业机器学习工程师考试评估您在以下领域的能力： - 确定机器学习问题 - 设计机器学习解决方案 - 数据准备与处理系统设计 - 开发机器学习模型 - 自动化和编排机器学习管道 - 监控、优化和维护机器学习解决方案 此学习路径旨在帮助您为获得谷歌认证专业机器学习工程师考试做准备。即使您不打算参加考试，课程也会帮助您深入理解如何在谷歌云平台上实施机器学习。通过考试的候选人将获得谷歌专业机器学习工程师认证。 为获得谷歌认证专业机器学习工程师认证，您需要注册并通过GCP专业机器学习工程师认证考试，最低分数要求为70%。该考试采用多项选择和多项选择题格式，时长为2小时，目前仅支持英语。 考试的类型：多项选择和多项选择题 考试费用：200美元 资格/先决条件：无 考试语言：英语 考试时长：120分钟 课程收益： - 云机器学习工程师：如果您希望成为成功的云机器学习工程师并在任何云环境或特别是GCP上提供基于机器学习的解决方案，那么此GCP专业机器学习工程师认证是您必须取得的资格。 - 未来技能：您将获得大量云、机器学习和人工智能理念的知识，展现并为组织提供可扩展和长期的解决方案。 - 职业发展：您将成为最受欢迎的专业机器学习工程师，找到平均35%的薪资增长的职位。 - 行业应用：您可以应用GCP机器学习技能在IT、银行、医疗、制造等多个领域工作。
Practice tests packageIn this practice test, you will find 110 practice questions similar to the ones you will find in the official exams. They are based on the official Google Cloud Platform: Machine learning Engineer exams and they contain a full explanation of the answers. In addition, we provide a link to the official Google cloud documentation for further research of the answer.By buying this practice test you will get:1. Lifetime access to updated questions based on the official Google Cloud syllabus2. Active support from experts and a huge pool of students3. Full explanation of the answersA Professional Machine Learning Engineer designs builds and produces ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. ML Engineers consider responsible AI throughout the ML development process and collaborate closely with other job roles to ensure the long-term success of models. They should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation, as well as familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance.The Professional Machine Learning Engineer exam assesses your ability to:Frame ML problemsArchitect ML solutionsDesign data preparation and processing systemsDevelop ML modelsAutomate and orchestrate ML pipelinesMonitor, optimize, and maintain ML solutionsThis learning path is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam. Even if you don't plan to take the exam, these courses will help you gain a solid understanding of how to implement machine learning on the Google Cloud Platform. Candidates who pass the exam will earn the Google Professional Machine Learning Engineer certification.The Professional Machine Learning Engineer exam tests your knowledge of six subject areas.Learning ObjectivesFrame machine learning problemsDesign a machine learning solution architecturePrepare and process dataDevelop machine learning modelsAutomate and orchestrate machine learning pipelinesMonitor, optimize, and maintain machine learning solutionsWhat does it take to earn the Google Certified Professional Machine Learning Engineer certification?To earn this certification, you will need to enroll and pass the GCP Professional Machine Learning Engineer certification exam by securing a minimum of 70%. The exam features multiple-choice and multiple-select question formats with 2 hours of time duration. This exam is available in English.BenefitsCloud ML Engineer: If you wish to become a successful cloud ML engineer and provide ML-based solutions on any cloud or specifically GCP then this GCP Professional Machine Learning Engineer certification is a must-have for you.Future Skills: You will gain enormous knowledge of cloud, ML, and AI concepts to demonstrate and provide organizations with scalable and long-term solutions by gaining expertise in these revolutionary domains.Career Growth: You will become the most sought-after professional ML engineer and land a job role with an average of a 35% salary hike.Sectoral Exposure: You can use the GCP ML skills to work across different job roles and different sectors such as IT, banking, healthcare, manufacturing, and so on.What is the exam type?Multiple Choice and Multiple SelectWhat is the exam Fee?The exam costs $200.Eligibility/Pre-RequisiteNoneExam LanguagesEnglishExam Duration120 Minutes
