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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-machine-learning-specialty-practice-exams-ma/
课程评论：没有评论
**课程名称：AWS 认证机器学习专项练习考试：2025** **课程概述：** 本课程是一个全面且有针对性的准备资源，旨在帮助有志于从事机器学习的专业人士获得 **AWS 认证机器学习 - 专项认证（MLS-C01）**。通过一系列模拟考试，本课程提供了一个专注且高强度的练习体验，这些模拟考试紧密贴合实际的认证考试。课程包含大量具有挑战性的题目，旨在评估和提升学员对关键机器学习概念、AWS 服务以及实际应用场景的理解。每场模拟考试都反映了官方认证考试的结构和复杂性，确保学习者熟悉题型和时间限制。 **AWS 认证机器学习专项考试详情：** * **考试名称：** AWS 机器学习专项 * **考试代码：** MLS-C01 * **考试券成本：** 300 美元 * **考试语言：** 英语、日语、韩语和简体中文 * **考试形式：** 多项选择、多项回答 * **题目数量：** 约 65 题 * **考试时长：** 170 分钟 * **通过分数：** 分数范围为 750-1000，通过分数线为 750 * **认证有效期：** 3 年，之后需要重新认证（AWS 提供 50% 的续期考试优惠券） **AWS 机器学习认证考试大纲：** * **数据工程：** 20% * **探索性数据分析：** 24% * **建模：** 36% * **机器学习实现与运维：** 20% **各领域详细介绍：** * **领域 1：数据工程** * 机器学习存储库的开发 * 数据提取和转换解决方案的实现与识别 * **领域 2：探索性数据分析** * 用于建模的准备和数据清理 * 特征工程 * 数据可视化和用于机器学习的分析 * **领域 3：建模** * 将业务问题与机器学习关联 * 训练机器学习模型 * 为具体的机器学习业务问题识别正确的模型 * 超参数优化 * 评估机器学习模型 * **领域 4：机器学习实现与运维** * 为可用性、弹性和容错性及性能开发机器学习解决方案 * 为具体问题推荐和实现正确的机器学习服务 * 将 AWS 的基础安全实践应用于机器学习解决方案 **课程收益：** 学员可以通过本课程锻炼解决问题的能力，巩固对 AWS 机器学习服务的知识，并增强在 AWS 生态系统中应对实际机器学习挑战的信心。通过解决各种场景问题，并借助详细的解释和理由来评估自身进步，学员将能更好地为实际认证考试做好准备。 无论您是机器学习实践者、开发者还是数据科学家，本课程都提供了一个宝贵的机会来评估您的准备程度并完善您的技能，最终帮助您成功获得 AWS 认证机器学习 - 专项认证。
This course is a comprehensive and targeted preparation resource designed to assist aspiring machine learning professionals in achieving the AWS Certified Machine Learning - Specialty certification (MLS-C01). This course offers a focused and intense practice experience through a series of mock exams that closely simulate the actual certification exam.With an extensive collection of challenging questions, the course aims to evaluate and enhance participants' understanding of key machine learning concepts, AWS services, and practical application scenarios. Each mock exam reflects the structure and complexity of the official certification test, ensuring that learners become familiar with the question format and time constraints.AWS Certified Machine Learning - Specialty Exam details:Exam Name: AWS machine learning specialtyExam code: MLS-C01Exam voucher cost: $300 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 65 (estimate)Length of exam: 170 minutesPassing grade: Score is from 750-1000, passing grade of 750AWS certifications are valid for 3 years, after which you must recertify (you get a 50% off voucher for your recertification exam from AWS)AWS Machine Learning Certification SyllabusData Engineering: 20%Exploratory Data Analysis: 24%Modeling: 36%Machine Learning Implementation and Operations: 20%# Domain 1: Data EngineeringThe sections that are tested and covered in this domain are as follows:Development of Machine Learning repositoriesImplementation and identification of data ingestion and transformation solutions# Domain 2: Exploratory Data AnalysisThis module comprises modeling and other Machine Learning concepts, along with the ones mentioned below:Preparation and sanitization of data for modelingFeature engineeringData visualization and analyzing for Machine Learning# Domain 3: ModelingThis is among the most vital domain among the rest when it comes to preparation and examination. The sections covered in this domain are listed below:Relating business issues with Machine LearningTraining Machine Learning modelsIdentification of the right model for the respective Machine Learning business problemHyperparameter optimizationEvaluation of Machine Learning models# Domain 4: Machine Learning Implementation and OperationsThis domain of the syllabus includes concepts of Implementation and services of Machine Learning, some of which include:Development of Machine Learning solutions for availability, resiliency, fault-tolerance, and performanceRecommendation and implementation of the right Machine Learning services for the respective issuesApplication of basic security practices of AWS to Machine Learning solutionsParticipants can expect to sharpen their problem-solving skills, reinforce their knowledge of AWS machine learning services, and gain confidence in their ability to tackle real-world machine learning challenges within the AWS ecosystem. By tackling a variety of scenarios and assessing their progress through detailed explanations and rationales for each question, participants will be better equipped to excel on the actual certification exam.Whether you are a machine learning practitioner, developer, or data scientist, this course provides a valuable opportunity to gauge your readiness and refine your skills, ultimately leading to success in earning the AWS Certified Machine Learning - Specialty certification.
