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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-machine-learning/
课程评论：没有评论
课程名称：AWS认证机器学习专家2025 - 实践课程 课程概述：本课程已更新至最新的SageMaker功能及生成性人工智能（大语言模型/ Bedrock）。许多同学对通过AWS认证机器学习专家考试（MLS-C01）感到紧张，这也不意外，因为这是AWS最难且最受追捧的认证之一。仅仅具备AWS和SageMaker的知识是不够的，还需要对机器学习有深入了解，以及对特征工程及模型调优的细致理解，这些内容通常在书本或课堂中并未教授。为此，本认证备考课程由在亚马逊工作九年的Frank Kane授课，他曾首次尝试就顺利通过该考试，了解通过考试所需的全部要素。此外，另有AWS专家及知名认证讲师Stéphane Maarek助教。 课程包含15小时的视频内容，及一个30分钟的快速评估练习考试，涉及与真实考试相同的主题与风格。同时，还有四个动手实验，帮助学员实践所学知识，并获得在模型调优、特征工程和数据工程方面的宝贵经验。 课程结构分为考试的四个测试领域：数据工程、探索性数据分析、建模以及机器学习实现与操作。我们将涉及的主题包括： - 生成性AI和大语言模型（LLM）的工作原理，包括Transformer架构（GPT）和基于注意力的神经网络（掩蔽自注意机制） - 亚马逊最新的生成性AI服务：Bedrock、SageMaker JumpStart、CodeWhisperer及SageMaker基础模型 - 数据湖（S3）、AWS Glue、Kinesis数据流、DynamoDB等 - 使用scikit_learn、数据科学基础、Athena与Quicksight等 - 特征工程（填补、离群值、分箱、变换、编码、归一化等）及深度学习基础 - 使用Amazon SageMaker的调优技术（SageMaker Studio、Model Monitor、Autopilot和Debugger等），模型评估（精准度、召回率、F1值、混淆矩阵等），高层次的机器学习服务等。 请注意，机器学习是一项高级认证，适合已经获得AWS助理级证书及具备一定行业经验的学生，初学者不适合参加这个考试。 如果本课程能完美的准备你参加AWS认证机器学习专家考试，那么就不要犹豫，赶快报名吧！我们欢迎你加入课程并帮助你掌握AWS平台，成为一名AWS机器学习专业人士！
Updated for the latest SageMaker features, and Generative AI (LLM's / Bedrock). Happy learning!Nervous about passing the AWS Certified Machine Learning - Specialty exam (MLS-C01)? You should be! There's no doubt it's one of the most difficult and coveted AWS certifications. A deep knowledge of AWS and SageMaker isn't enough to pass this one - you also need deep knowledge of machine learning, and the nuances of feature engineering and model tuning that generally aren't taught in books or classrooms. You just can't prepare enough for this one.This certification prep course is taught by Frank Kane, who spent nine years working at Amazon itself in the field of machine learning. Frank took and passed this exam on the first try, and knows exactly what it takes for you to pass it yourself. Joining Frank in this course is Stephane Maarek, an AWS expert and popular AWS certification instructor on Udemy.In addition to the 15-hour video course, a 30-minute quick assessment practice exam is included that consists of the same topics and style as the real exam. You'll also get four hands-on labs that allow you to practice what you've learned, and gain valuable experience in model tuning, feature engineering, and data engineering.This course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Just some of the topics we'll cover include:How generative AI and large language models (LLM's) work, including the Transformer architecture (GPT) and attention-based neural networks (masked self-attention)Amazon's newest generative AI services: Bedrock, SageMaker JumpStart for Generative AI, CodeWhisperer, and SageMaker Foundation ModelsS3 data lakesAWS Glue and Glue ETLKinesis data streams, firehose, and video streamsDynamoDBData Pipelines, AWS Batch, and Step FunctionsUsing scikit_learnData science basicsAthena and QuicksightElastic MapReduce (EMR)Apache Spark and MLLibFeature engineering (imputation, outliers, binning, transforms, encoding, and normalization)Ground TruthDeep Learning basicsTuning neural networks and avoiding overfittingAmazon SageMaker, including SageMaker Studio, SageMaker Model Monitor, SageMaker Autopilot, and SageMaker Debugger.Regularization techniquesEvaluating machine learning models (precision, recall, F1, confusion matrix, etc.)High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and moreBuilding recommender systems with Amazon PersonalizeMonitoring industrial equipment with Lookout and MonitronSecurity best practices with machine learning on AWSMachine learning is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.If there's a more comprehensive prep course for the AWS Certified Machine Learning - Specialty exam, we haven't seen it. Enroll now, and gain confidence as you walk into that testing center. InstructorMy name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.I have already taught 2,500,000+ students and gotten 800,000+ reviews throughout my career in designing and delivering these certifications and courses!With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Machine Learning Professional. So, let's kick start the course! You are in good hands!InstructorHey, I'm Frank Kane, and I'm also instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, where my specialty was recommender systems and machine learning. As an instructor, I'm best known for my top-selling courses in "big data", data analytics, machine learning, Apache Spark, system design, technical management and career growth, and Elasticsearch.I've been teaching on Udemy since 2015, where I've reached over one million students all around the world!I've worked hard to keep this course up to date with the latest developments in AWS machine learning, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!This course also comes with:Lifetime access to all future updatesA responsive instructor in the Q & A SectionUdemy Certificate of Completion Ready for DownloadA 30 Day "No Questions Asked" Money Back Guarantee!Join us in this course if you want to prepare for the AWS Machine Learning Certification and master the AWS platform!
