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AWS Machine Learning Engineer Associate Exam Prep · LearnSpace
Назад в каталог
courseraIT и технологии

AWS Machine Learning Engineer Associate Exam Prep

Курс от Neal Davis
Средний≈ 30.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This course prepares learners for the AWS Certified Machine Learning Engineer – Associate certification while building practical skills in implementing and operationalizing machine learning workloads on AWS. Through a combination of clear theory, architectural diagrams, and hands-on demonstrations, the course explains how machine learning solutions are designed, deployed, and managed in real-world cloud environments. Learners will explore the key concepts required for building production-ready ML systems, including data preparation, model training, deployment strategies, and monitoring ML workloads in AWS. The course also introduces the AWS services and tools commonly used to develop scalable and reliable machine learning solutions. By the end of the course, learners will understand how to implement and manage ML workflows on AWS and will be well prepared to take the AWS Certified Machine Learning Engineer – Associate exam.

Навыки, которые вы освоите

Machine LearningAmazon RedshiftFeature EngineeringGenerative Model ArchitecturesApplied Machine LearningExploratory Data AnalysisModel DeploymentGenerative AIAmazon S3Cloud EngineeringCloud DeploymentData StorageModel TrainingAmazon Web ServicesMLOps (Machine Learning Operations)Amazon BedrockData PreprocessingData Storage TechnologiesModel EvaluationAWS SageMaker

Программа курса

12 модулей · 258 учебных материалов

01Let's Get Started1 материалов

Let's Get Started

Introduction to MLAВидео
02Data Storage/Ingestion34 материалов

Data Storage/Ingestion

Intro: Data Storage/IngestionВидеоThe Three VsВидеоTypes of DataВидео

Учитесь у экспертов

Neal Davis

Преподаватель курса

Karim ElKobrossy

Преподаватель курса

AWS Machine Learning Engineer Associate Exam Prep
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 30.6 ч

12 модулей

Язык: Английский

Часть программы вашего университета
Batch Versus StreamingВидео
OLTP vs OLAPВидео
Data FormatsВидео
Data ModelingВидео
Data WarehousesВидео
Data LakesВидео
Data Ingestion ScenariosВидео
Amazon FSxВидео
[HOL] Loading Data Into Model Training ResourceВидео
Amazon Kinesis Data StreamsВидео
[HOL] Create a Data StreamВидео
Using EFS with LambdaВидео
[HOL] Create an AWS Lambda Function to Consume a Kinesis Data StreamВидео
Amazon Kinesis Client Library (KCL)Видео
Apache KafkaВидео
Amazon MSKВидео
Kinesis vs MSKВидео
Amazon Data FirehoseВидео
[HOL] Configure an Amazon Data Firehose StreamВидео
Amazon Managed Service for Apache FlinkВидео
Amazon Kinesis AnalyticsВидео
Amazon Kinesis Video StreamsВидео
Amazon RedshiftВидео
Amazon Redshift ServerlessВидео
Storage PlatformsВидео
Aligning to Access PatternsВидео
Cost and Performance ComparisonsВидео
Extracting Data From StorageВидео
Summary of Storage OptionsВидео
Exam CramВидео
Learning Check QuizЗадание
03Exploratory Data Analysis29 материалов

Exploratory Data Analysis

Intro: Exploratory Data AnalysisВидеоPlotsВидеоData TypesВидеоData DistributionВидеоFeature EngineeringВидеоData Transformation (Numbers-Categories)ВидеоData Transformation (Text-Images)ВидеоImputation TechniquesВидеоUnbalanced DataВидеоOutliersВидеоAmazon EMR IntroductionВидеоApache HadoopВидеоHadoop FrameworksВидеоApache SparkВидеоAmazon EMR ArchitectureВидео[HOL] Launch an EMR ClusterВидеоTransforming Streaming Data (Lambda and Spark)ВидеоEMR ServerlessВидеоAmazon SageMaker Feature StoreВидеоAWS GlueВидео[HOL] AWS Glue (Crawler + Transformation)ВидеоAWS Glue Data CatalogВидео[HOL] Create an AWS Glue Data CatalogВидеоAWS Glue DataBrewВидео[HOL] Create a DataBrew ProjectВидеоAmazon AthenaВидео[HOL] Running SQL Queries in AthenaВидеоExam CramВидеоLearning Check QuizЗадание
04Machine Learning31 материалов

Machine Learning

Intro: Machine LearningВидеоTaxonomy of AIВидеоTraditional vs AI methods for Solving ProblemsВидеоAI Real-world ApplicationsВидеоBusiness View for AIВидеоSources of ML ModelsВидеоMachine Learning CategoriesВидеоRegressionВидеоRegression - Model EvaluationВидеоClassificationВидеоClassification - Model EvaluationВидеоDimensionality ReductionВидеоDeep LearningВидеоNatural Language processing (NLP)ВидеоComputer Vision (CV)ВидеоConvolutional Neural Network (CNN)ВидеоRecurrent Neural NetworkВидеоAdvancements in NLPВидеоNeural Network CharacteristicsВидеоNeural Networks ProblemsВидеоOverfitting/UnderfittingВидеоPreventing OverfittingВидеоValidation TechniquesВидеоDecision TreesВидеоEnsemble LearningВидеоReducing Model SizeВидеоPerformance, Training Time, and Cost TradeoffsВидеоAI Use CasesВидеоInterpreting ML ModelsВидеоExam CramВидеоLearning Check QuizЗадание
05Managed AI Services31 материалов

Managed AI Services

Intro: Managed AI ServicesВидеоAI ServicesВидеоAmazon ComprehendВидео[HOL] Customer's Reviews Sentiment AnalysisВидеоAmazon TranslateВидео[HOL] Amazon TranslateВидеоAmazon TranscribeВидео[HOL] Amazon TranscribeВидеоAmazon PollyВидео[HOL] Amazon PollyВидеоAmazon RekognitionВидео[HOL] Amazon RekognitionВидеоAmazon TextractВидео[HOL] Amazon TextractВидеоAmazon ForecastВидеоAmazon LexВидеоAmazon Fraud DetectorВидеоAmazon PersonalizeВидеоAmazon KendraВидео[HOL] Amazon KendraВидеоAmazon BedrockВидео[HOL] PartyRock (Amazon Bedrock Playground)ВидеоAmazon Augmented AIВидеоEC2 Instances for AIВидеоAmazon Q BusinessВидеоAmazon Q AppsВидео[HOL] Amazon Q BusinessВидео[HOL] Amazon Q AppsВидеоAmazon Q DeveloperВидеоExam CramВидеоLearning Check QuizЗадание
06Modelling (SageMaker Built-In Algorithms)30 материалов

Modelling (SageMaker Built-In Algorithms)

Intro: Modelling (SageMaker Built-In Algorithms)ВидеоAmazon SageMaker, SageMaker StudioВидео[HOL] Amazon SageMaker WalkthroughВидео[HOL] Create an Amazon SageMaker Notebook InstanceВидеоBuilt-in Algorithms OverviewВидеоLinear LearnerВидеоXGBoostВидеоLightGBMВидеоK-Nearest NeighboursВидеоFactorization MachinesВидеоDeepARВидеоImage ClassificationВидеоObject DetectionВидеоSemantic SegmentationВидеоSeq2SeqВидеоBlazingTextВидеоNeural Topic Model (NTM)ВидеоLatent Dirichlet Allocation (LDA)ВидеоRandom Cut Forest (RCF)ВидеоK-means ClusteringВидеоHierarchical ClusteringВидеоObject2VecВидеоPrincipal Component Analysis (PCA)ВидеоIP InsightsВидеоReinforcement LearningВидеоBuilt-in Algorithms RecapВидеоHyperparameter Tuning (Automatic Model Tuning)Видео[HOL] Hyperparameter Tuning JobВидеоExam CramВидеоLearning Check QuizЗадание
07Amazon SageMaker Services15 материалов

Amazon SageMaker Services

Intro: Amazon SageMaker ServicesВидеоAmazon Sagemaker Ground TruthВидео[HOL] Create a Labelling JobВидеоSageMaker Data WranglerВидео[HOL] SageMaker Data WranglerВидеоSagemaker Model MonitorВидеоBias in Machine LearningВидеоAmazon SageMaker ClarifyВидео[HOL] Amazon SageMaker ClarifyВидеоAmazon SageMaker Feature StoreВидеоSageMaker CanvasВидео[HOL] SageMaker CanvasВидеоSageMaker Model RegistryВидеоExam CramВидеоLearning Check QuizЗадание
08Model Deployment31 материалов

Model Deployment

Intro: Model DeploymentВидеоOnline Inference (Real-time)ВидеоBatch TransformВидеоOther DeploymentsВидеоMulti-model vs Multi-container EndpointsВидео[HOL] Multi-model EndpointВидео[HOL] Multi-container EndpointВидеоSagemaker DeploymentВидео[HOL] XGBoost (Churn Prediction)Видео[HOL] Script ModeВидео[HOL] Bring Your Own (BYO) DockerВидеоSagemaker Instance TypesВидеоSageMaker SDKВидеоDistributed TrainingВидеоSagemaker DebuggerВидео[HOL] SageMaker Serverless InferenceВидеоSagemaker AutopilotВидеоAmazon SageMaker Inference RecommenderВидеоAmazon SageMaker Serverless InferenceВидеоInference PipelineВидео[HOL] Sagemaker Model MonitorВидеоSagemaker NeoВидеоSagemaker SecurityВидеоDeployment Target ServicesВидеоMaintainable, Scalable, Cost-effective DeploymentsВидеоAutomatic Scaling MetricsВидеоPerformance Tradeoff AnalysisВидеоApache Airflow, SageMaker PipelinesВидеоIsolated ML SystemВидеоExam CramВидеоLearning Check QuizЗадание
09AWS Infrastructure, MLOps, and Orchestration18 материалов

AWS Infrastructure, MLOps, and Orchestration

Intro: AWS Infrastructure, MLOps, and OrchestrationВидеоOn-demand vs Provisioned ResourcesВидеоScaling PoliciesВидеоInfrastructure as Code (IaC) ServicesВидеоDocker Containers and MicroservicesВидеоAmazon Elastic Container Service (ECS)Видео[HOL] Launch Docker Containers on AWS FargateВидеоDocker Containers with SagemakerВидеоSageMaker MLOps for Kubernetes and SageMaker ProjectsВидеоCI/CD OverviewВидеоGitFlow, GitHub FlowВидео(CI/CD) Pipelines Using AWS CodePipeline, CodeBuild, and CodeDeployВидеоAutomated Tests in CI/CD PipelinesВидеоServices to Automate Orchestration in MLВидео[HOL] CI/CD For Training And DeploymentВидеоModel Retraining FrameworkВидеоExam CramВидеоLearning Check QuizЗадание
10Foundation Models and Applications18 материалов

Foundation Models and Applications

Intro: Foundation Models and ApplicationsВидеоFoundation Model LifecycleВидеоSelection Criteria for Pre-trained ModelsВидеоTweaking Inference ParametersВидео[HOL] Tweaking Inference ParametersВидеоEmbeddings and Vector DatabasesВидеоRetrieval Augmented Generation (RAG)ВидеоRAG Use CasesВидеоRAG in Amazon BedrockВидео[HOL] Amazon Bedrock Knowledge BasesВидеоOptimizing Foundation ModelsВидеоChoosing the Right Approach: Fine-tuning vs RAGВидеоFine-tuning a Foundation Model (Deep Dive)ВидеоData Preparation for Fine-tuningВидеоEvaluating a Foundation ModelВидеоFoundation Model Performance MetricsВидеоBusiness Objectives for Foundation ModelsВидеоLearning Check QuizЗадание
11AWS GenAI Services and Infrastructure8 материалов

AWS GenAI Services and Infrastructure

Intro: GenAI Services and InfrastructureВидеоAWS Services For GenAIВидеоChoosing Foundation Models and AWS GenAI ServiceВидеоWhy AWS Services for GenAI?ВидеоEC2 for GenAIВидеоWhy AWS Infrastructure For GenAIВидеоCost Tradeoffs of AWS GenAI ServicesВидеоLearning Check QuizЗадание
12Monitoring and Optimization12 материалов

Monitoring and Optimization

Intro: Monitoring and OptimizationВидеоML Lens for MonitoringВидеоCloudwatch for MLВидеоAWS X-RayВидеоAmazon QuicksightВидео[HOL] Create an Analysis Using QuicksightВидеоAWS CloudTrail for MLВидеоSageMaker MonitoringВидеоRegulatory Compliance Standards for AI SystemsВидеоAWS Services for Regulatory ComplianceВидеоExam CramВидеоLearning Check QuizЗадание