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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-machine-learning-specialty-2024/
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课程名称：AWS认证机器学习专家 课程概述： 本课程旨在帮助学员获得AWS认证机器学习专家资格，涵盖设计、构建、部署和管理AWS上的机器学习模型的高级技能。通过学习，您将能够使用AWS服务（如Amazon SageMaker、Amazon Rekognition和Amazon Comprehend）解决复杂的商业问题，并为AWS认证机器学习专家考试做好准备。 课程内容： - 理解机器学习算法 - 数据预处理与准备 - 模型训练与评估 - 模型的部署与管理 - 实践真实的机器学习场景 结束后您将能够： - 在AWS上设计和构建机器学习模型 - 为机器学习数据进行预处理和准备 - 训练和评估机器学习模型 - 在生产环境中部署和管理模型 适合人群： 本课程适合有经验的数据科学家和机器学习工程师，尤其是需要提高AWS机器学习技能的从业者，包括日常使用AWS的专业人士，以及希望为AWS认证机器学习专家考试做准备的人员。 课程需求： - 计算机及互联网接入 - 基础的机器学习原理知识 - 熟悉AWS服务，如Amazon SageMaker、Amazon Rekognition和Amazon Comprehend 课程优势： - 从经验丰富的讲师学习，他们都是AWS认证机器学习专家 - 实操真实的机器学习场景 - 提供全面的练习题和模拟考试，以帮助备考 - 购买课程后可获得终身访问权限 注册这门课程，迈出成为AWS认证机器学习专家的第一步！该认证是针对希望在AWS平台上验证其机器学习技能的开发者和数据科学家，考试范围包括数据工程、探索性数据分析、建模和机器学习实施与运维四个关键领域。通过深入学习AWS的机器学习服务及相关知识，您将能够全面准备实战与理论考试。
AWS Certified Machine Learning - SpecialtyBecome an AWS Certified Machine Learning - Specialty with this comprehensive course!The AWS Certified Machine Learning - Specialty is an advanced certification that validates your ability to design, build, deploy, and manage machine learning models on AWS. With this certification, you can demonstrate your expertise in using AWS services such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend to solve complex business problems.In this course, you will learn the advanced concepts and skills required to pass the AWS Certified Machine Learning - Specialty exam. You will cover machine learning algorithms, data preprocessing, model training, and model deployment. You will also receive hands-on practice with real-world machine learning scenarios.By the end of this course, you will be able to:Design and build machine learning models on AWS.Preprocess and prepare data for machine learning.Train and evaluate machine learning models.Deploy and manage machine learning models in production.Who should take this course:This course is for experienced data scientists and machine learning engineers who want to advance their skills and knowledge of AWS machine learning. This includes data scientists and machine learning engineers who work with AWS on a daily basis, data scientists and machine learning engineers who want to prepare for the AWS Certified Machine Learning - Specialty exam, and data scientists and machine learning engineers who want to learn more about advanced AWS machine learning concepts.What you will need to take this course:A computer with internet accessA basic understanding of machine learning principlesExperience with AWS services such as Amazon SageMaker, Amazon Rekognition, and Amazon ComprehendHere are some of the benefits of taking this course:Learn from experienced instructors: Our instructors are all AWS Certified Machine Learning - Specialty experts with years of experience in the field.Get hands-on practice: You will receive hands-on practice with real-world machine learning scenarios.Prepare for the AWS Certified Machine Learning - Specialty exam: You will receive comprehensive practice questions and mock exams to help you prepare for the AWS Certified Machine Learning - Specialty exam.Get lifetime access: Once you purchase the course, you will have lifetime access to the materials and resources.Enroll in this course today and take your first step towards becoming an AWS Certified Machine Learning - Specialty!The AWS Certified Machine Learning Specialty certification is for developers and data scientists who want to validate their machine learning skills on the AWS platform. Specifically, the exam tests a candidate's ability to design, build, deploy and maintain machine learning solutions. This path covers the four key test domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The information and resources contained in this path will be vital in preparing to take the AWS Certified Machine Learning Specialty exam.Just like the real exam, this practice exam tests four different domains:Data EngineeringExploratory Data AnalysisModelingMachine Learning Implementation and OperationsYou'll need deep and broad knowledge of SageMaker and AWS's other machine learning services, including Rekognition, Translate, Polly, and Comprehend. You'll need to know how to process big data using Kinesis, S3, Glue, and Athena. And you'll need a strong knowledge of AWS security, including use of KMS and IAM.But AWS knowledge is not enough to pass this practice exam, or the real thing! You also need deep knowledge on data science, feature engineering and tuning your machine learning models. Do you really understand regularization techniques and how to use them? Do you really understand precision, recall, and AUC? Do you know how different deep learning models work, and how they are used? This practice exam will let you find out. Every question includes an explanation of the correct answer as well.
