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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-certified-machine-learning-engineer-associate-mla-c01-exam-prep/
课程评论：没有评论
课程名称：AWS认证机器学习工程师 - 助理 MLA-C01 课程概述： 本课程是您准备和通过AWS认证机器学习工程师助理考试（MLA-C01）的唯一必备课程，让您成为AWS认证机器学习工程师！通过真实的实践项目、测验和完整的模拟考试，使您的准备过程和在AWS上学习机器学习变得轻松有趣且高效。本课程教授您通过考试所需掌握的所有主题。 为什么这将是您通过AWS认证机器学习工程师考试的唯一课程？ - 每个主题都深入覆盖 - 100% 最新内容 - 实践性与实用性 - 包含完整的模拟考试和详细解答 - 实际和现实世界技能 - 成功的技巧与建议 本课程按步骤引导您做好最佳的考试准备，帮助您在机器学习领域开启成功的职业生涯。 讲师介绍： 我是Nikolai，AWS认证讲师，致力于在200多个国家教授AWS和数据分析。我希望通过本课程减轻您考试准备的压力，使学习过程既有趣又有效，最大程度地利用准备时间。我的目标是确保您能够成功，并推动您的职业发展。 注册后，您将获得： - 终身访问权，包括所有未来更新 - 高质量视频内容 - 所有幻灯片和项目文件的下载资源 - 详细解答的完整模拟考试 - 专业支持及成功秘笈 - 30天无条件退款保证 成为专家，掌握AWS中的机器学习完整生命周期： - 通过AWS认证机器学习工程师考试 - 精通AWS上的机器学习 - 使用SageMaker构建、训练和部署机器学习模型 - 使用SageMaker Pipelines协调ML工作流程 - 利用SageMaker Data Wrangler和AWS Glue进行数据导入和转换 - 使用SageMaker Feature Store进行特征工程 - 通过实时、批量和无服务器推理部署模型 - 使用SageMaker Model Monitor监控生产中的模型 - 通过SageMaker Debugger和Profiler调试和优化模型 - 实施负责任的AI实践（SageMaker Clarify） - 了解与机器学习相关的AWS存储和数据处理服务 - 通过IAM、KMS和VPC确保机器学习工作流安全 - 使用SageMaker和AWS CodePipeline实施CI/CD管道 - 优化成本并通过CloudWatch和AWS成本管理工具监控机器学习工作负载 - 以及更多内容！ 无论您是机器学习新手还是希望扩展AWS专业知识，本课程都提供您所需的一切——实践实验、完整的模拟考试和涵盖AWS上机器学习每个方面的最新内容。今天就把握这个机会，迈出成功机器学习工程师职业生涯的第一步！期待在课程中见到您！
The ONLY course you need to prepare and PASS the AWS Certified Machine Learning Engineer - Associate exam (MLA-C01) and become an AWS Certified Machine Learning Engineer - Associate!Make your exam preparation and learning Machine Learning on AWS fun, easy, and highly effective with real-life hands-on projects, quizzes, and a full practice exam!This course teaches you every single topic you need to master the exam with ease.Why is this the ONLY course you need to pass the AWS Certified Machine Learning Engineer exam?Every single topic is covered in depth100% up-to-date!Hands-On & PracticalFull practice exam including all explanationsPractical & Real-World SkillsTips for successThis course guides you step-by-step to prepare in the best possible way for the examDon't waste your time but focuses on what really matters to master the exam!This course guides you step-by-step to prepare in the best possible way for the exam and start your successful career in machine learning!Your InstructorHi, my name is Nikolai, and I am AWS Certified and I teach AWS and data analytics in over 200 countries. My mission with this course is to take the stress out of your exam prep, make it fun but very effective to maximize your preparation time. I want to make sure you have the best chances of succeeding and moving your career forward with the AWS Machine Learning Engineer certification in your professional journey.Enroll Now and Get:Lifetime Access including all future updatesHigh quality video contentAll slides & project files as downloadable resourcesFull practice exam with explanationsTipps for success & expert-level support30-day money-back guarantee (no-questions-asked!)Become an Expert & Learn the Full Machine Learning Lifecycle in AWS:PASS the AWS Certified Machine Learning Engineer examMaster Machine Learning on AWS and become an expertBuild, train, and deploy machine learning models with SageMakerOrchestrate ML workflows with SageMaker PipelinesPerform data ingestion and transformation with SageMaker Data Wrangler and AWS GlueUse SageMaker Feature Store for feature engineeringDeploy models using real-time, batch, and serverless inferenceMonitor models in production with SageMaker Model MonitorDebug and optimize models with SageMaker Debugger and ProfilerImplement responsible AI practices with SageMaker ClarifyUnderstand AWS storage and data processing services relevant to MLSecure your ML workflows with IAM, KMS, and VPCsImplement CI/CD pipelines for ML using SageMaker and AWS CodePipelineOptimize costs and monitor ML workloads with CloudWatch and AWS Cost Management toolsAnd much more!Whether you're new to machine learning or looking to expand your AWS expertise, this course offers everything you need-practical labs, a full practice exam, and up-to-date content that covers every aspect of Machine Learning on AWS.Take this chance today - this can be your first step into a successful machine learning engineering career!Looking forward to seeing you inside the course!
