AWS Certified Machine Learning Specialty 2024 – Hands On!
AWS Certified Machine Learning Specialty 2024 – 动手实践!
AWS 机器学习认证准备 – 学习 SageMaker、生成式 AI、数据工程、建模等
教程演示🔗
更多运维教程
Embark on a transformative journey with the “AWS Certified Machine Learning Specialty” course. This comprehensive guide offers an in-depth exploration into the world of artificial intelligence, predictive analytics, and cloud computing. Through our practical sessions, you’ll dive deep into the realms of SageMaker, harness the power of generative AI, and master data engineering techniques. Prepare to navigate the complexities of neural networks, machine learning algorithms, and deep learning to excel in your AWS ML exam and propel your career in data science to new heights.
加入 “AWS 认证机器学习专业 – 动手实践!”课程,开启一段变革之旅。本课程是通往人工智能、预测分析和云计算世界的深入指南。通过我们的实践课程,您将深入探索 SageMaker 的强大功能,掌握生成式 AI 的力量,并精通数据工程技术。准备好应对神经网络、机器学习算法和深度学习的复杂性,以在 AWS ML 考试中脱颖而出,并将您的数据科学职业推向新的高度。
What you’ll learn 学习内容
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What to expect on the AWS Certified Machine Learning Specialty exam
AWS Certified Machine Learning Specialty 考试的预期内容 -
Amazon SageMaker’s built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
Amazon SageMaker 的内置机器学习算法(XGBoost、BlazingText、Object Detection 等) -
Feature engineering techniques, including imputation, outliers, binning, and normalization
特征工程技术,包括插补、异常值、分箱和归一化 -
High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
高级 ML 服务:Comprehend、Translate、Polly、Transcribe、Lex、Rekognition 等 -
Data engineering with S3, Glue, Kinesis, and DynamoDB
使用 S3、Glue、Kinesis 和 DynamoDB 进行数据工程 -
Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
使用 scikit_learn、Athena、Apache Spark 和 EMR 进行探索性数据分析 -
Deep learning and hyperparameter tuning of deep neural networks
深度神经网络的深度学习和超参数调优 -
Automatic model tuning and operations with SageMaker
使用 SageMaker 进行自动模型调整和操作 -
L1 and L2 regularization L1 和 L2 正则化
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Applying security best practices to machine learning pipelines
将安全最佳做法应用于机器学习管道
Requirements 要求
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Associate-level knowledge of AWS services such as EC2
对 EC2 等 AWS 服务具有助理级知识 -
Some existing familiarity with machine learning
对机器学习有一定的了解 -
An AWS account is needed to perform the hands-on lab exercises
需要 AWS 账户才能执行动手实验室练习
Description 描述
Updated for the latest SageMaker features, Generative AI (GPT), and new AWS ML Services. Happy learning!
针对最新的 SageMaker 功能、生成式 AI (GPT) 和新的 AWS ML 服务进行了更新。祝您学习愉快!
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.
对通过 AWS Certified Machine Learning – Specialty 考试 (MLS-C01) 感到紧张?你应该是!毫无疑问,这是最困难和最令人垂涎的 AWS 认证之一。对 AWS 和 SageMaker 的深入了解不足以通过这一考试 – 您还需要深入了解机器学习,以及通常不会在书本或课堂上教授的特征工程和模型调优的细微差别。你只是无法为此做好充分的准备。
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.
该认证预备课程由弗兰克·凯恩(Frank Kane)教授,他在亚马逊本身的机器学习领域工作了九年。弗兰克在第一次尝试时就参加并通过了这项考试,并且确切地知道您自己通过考试需要什么。与 Frank 一起参加本课程的是 Stephane Maarek,她是 AWS 专家,也是 Udemy 上广受欢迎的 AWS 认证讲师。
In addition to the 11-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.
除了 11 小时的视频课程外,还包括 30 分钟的快速评估练习考试,该考试的主题和风格与真实考试相同。您还将获得四个动手实验室,让您能够实践所学知识,并在模型调优、特征工程和数据工程方面获得宝贵的经验。
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:
本课程分为本考试测试的四个领域:数据工程、探索性数据分析、建模以及机器学习实施和操作。我们将涵盖的一些主题包括:
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How generative AI and large language models (LLM’s) work, including the Transformer architecture (GPT) and attention-based neural networks (masked self-attention)
生成式 AI 和大型语言模型 (’s) 的工作原理,包括 Transformer 架构 (GPT) 和基于注意力的神经网络(LLM掩码自注意力) -
Amazon’s newest generative AI services: Bedrock, SageMaker JumpStart for Generative AI, CodeWhisperer, and SageMaker Foundation Models
Amazon 最新的生成式 AI 服务:Bedrock、用于生成式 AI 的 SageMaker JumpStart、CodeWhisperer 和 SageMaker 基础模型 -
S3 data lakes S3 数据湖
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AWS Glue and Glue ETL
AWS Glue 和 Glue ETL -
Kinesis data streams, firehose, and video streams
Kinesis 数据流、Firehose 和视频流 -
DynamoDB
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Data Pipelines, AWS Batch, and Step Functions
Data Pipelines、AWS Batch 和 Step Functions -
Using scikit_learn 使用 scikit_learn
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Data science basics 数据科学基础知识
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Athena and Quicksight Athena 和 Quicksight
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Elastic MapReduce (EMR) 弹性MapReduce(EMR)
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Apache Spark and MLLib Apache Spark 和 MLLib
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Feature engineering (imputation, outliers, binning, transforms, encoding, and normalization)
特征工程(插补、异常值、分箱、转换、编码和规范化) -
Ground Truth 地面实况
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Deep Learning basics 深度学习基础知识
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Tuning neural networks and avoiding overfitting
调整神经网络并避免过度拟合 -
Amazon SageMaker, including SageMaker Studio, SageMaker Model Monitor, SageMaker Autopilot, and SageMaker Debugger.
Amazon SageMaker,包括 SageMaker Studio、SageMaker Model Monitor、SageMaker Autopilot 和 SageMaker Debugger。 -
Regularization techniques
正则化技术 -
Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
评估机器学习模型(精确率、召回率、F1、混淆矩阵等) -
High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
高级 ML 服务:Comprehend、Translate、Polly、Transcribe、Lex、Rekognition 等 -
Building recommender systems with Amazon Personalize
使用 Amazon Personalize 构建推荐系统 -
Monitoring industrial equipment with Lookout and Monitron
使用 Lookout 和 Monitron 监控工业设备 -
Security best practices with machine learning on AWS
AWS 上机器学习的安全最佳实践
Machine 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.
机器学习是一项高级认证,最好由已经在 AWS 中获得助理级认证并具有一些实际行业经验的学生来学习。本考试不适合 AWS 初学者。
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.
如果 AWS Certified Machine Learning – Specialty 考试有更全面的备考课程,我们还没有看到。立即注册,并在您走进该考试中心时获得信心。
Instructor 教练
My 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.
我叫 Stéphane Maarek,我对云计算充满热情,我将担任本课程的讲师。我教授 AWS 认证,专注于帮助我的学生提高他们在 AWS 方面的专业能力。
I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!
在我的职业生涯中,我已经教过 1,500,000+ 名学生,并在设计和提供这些认证和课程方面获得了 500,000+ 条评论!
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!
随着 AWS 成为当今现代 IT 架构的核心,我认为是时候让学生学习如何成为一名 AWS 机器学习专家了。所以,让我们开始课程吧!你掌握得很好!
Instructor 教练
Hey, 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.
嘿,我是弗兰克·凯恩,我也在指导这门课程。我在亚马逊内部工作了九年,担任高级工程师和高级经理,我的专长是推荐系统和机器学习。作为一名讲师,我最出名的是我在“大数据”、数据分析、机器学习、Apache Spark、系统设计、技术管理和职业发展以及 Elasticsearch 方面的畅销课程。
I’ve been teaching on Udemy since 2015, where I’ve reached over 700,00 students all around the world!
自 2015 年以来,我一直在 Udemy 上任教,在那里我接触到了全球超过 700,00 名学生!
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!
我一直在努力使本课程与 AWS 机器学习的最新发展保持同步,并确保您为最新版本的考试做好准备。让我们潜入并让您做好准备!
This course also comes with:
本课程还附带:
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Lifetime access to all future updates
终身访问所有未来更新 -
A responsive instructor in the Q&A Section
问答部分反应灵敏的讲师 -
Udemy Certificate of Completion Ready for Download
Udemy 结业证书可供下载 -
A 30 Day “No Questions Asked” Money Back Guarantee!
30天“无条件”退款保证!
Join us in this course if you want to prepare for the AWS Machine Learning Certification and master the AWS platform!
如果您想准备 AWS Machine Learning 认证并掌握 AWS 平台,请加入我们的本课程!
Who this course is for:
本课程适用于谁:
- Individuals performing a development or data science role seeking certification in machine learning and AWS.
在机器学习和 AWS 方面寻求认证的开发或数据科学角色的个人。