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在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
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教师必需的
“aws sagemaker” 的结果
状态：新状态：免费试用您将获得的技能: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption
Coursera Project Network
您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning
状态：新状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Product Strategy, Amazon Web Services, LLM Application, MLOps (Machine Learning Operations), Application Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Data Governance, Large Language Modeling, Commercialization, API Design, Solution Architecture, Data Management
状态：新状态：免费试用您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
状态：新状态：免费试用您将获得的技能: AWS CloudFormation, Amazon CloudWatch, Infrastructure as Code (IaC), AWS SageMaker, Amazon Web Services, CI/CD, AWS Identity and Access Management (IAM), Devops Tools, Cloud Security, Continuous Deployment, Network Security, Amazon S3, Cloud Infrastructure, Data Security, System Monitoring, Multi-Factor Authentication, Data Pipelines
状态：免费试用Duke University
您将获得的技能: 探索性数据分析, 数据分析, 机器学习算法, 无服务器计算, 机器学习, MLOps（机器学习 Operator）, 微软 Azure, 云工程, AWS SageMaker, 人工智能和机器学习（AI/ML）, Python 程序设计, 亚马逊 S3, 功能工程, 云计算解决方案, 亚马逊网络服务, 数据管道, 应用机器学习, Machine Learning 方法
是什么让您今天来到 Coursera？
状态：新状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI Agents, Generative AI, LangChain, Large Language Modeling, LLM Application, Prompt Engineering Tools, Artificial Intelligence, AWS SageMaker, Amazon Web Services, AI Personalization, Automation, Application Programming Interface (API), Data Processing, Performance Testing, Data Integration
您将获得的技能: AWS SageMaker, Applied Machine Learning, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Version Control, Data Validation, Data Cleansing
状态：新状态：免费试用LearnKartS
您将获得的技能: Prompt Engineering, Amazon Bedrock, AWS SageMaker, AWS Identity and Access Management (IAM), Identity and Access Management, Computer Vision, Generative AI, LLM Application, Amazon Web Services, Applied Machine Learning, Natural Language Processing, Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Deep Learning, Data Wrangling
状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: 数据库, 无服务器计算, 集装箱化, 云计算, AWS 身份和访问管理 (IAM), 亚马逊弹性计算云 Computing, 可扩展性, 亚马逊 S3, 云存储, 云安全, 负载平衡, 亚马逊云观察, 亚马逊网络服务, 亚马逊 DynamoDB, Virtual Private Networks（VPN）, 通用网络
状态：免费Amazon Web Services
您将获得的技能: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform
状态：免费Amazon Web Services
您将获得的技能: 人工智能和机器学习（AI/ML）, 亚马逊基岩, LLM 申请, 生成式人工智能, 大型语言模型
总之，以下是 10 最受欢迎的 aws sagemaker 课程
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- Semantic Segmentation with Amazon Sagemaker: Coursera Project Network
- AWS Generative AI Applications: Amazon Web Services
- Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
- AWS Security, Logging & DevOps for Data Engineers: LearnKartS
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- AWS Generative AI for Developers: Amazon Web Services
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- AWS AI Practitioner: LearnKartS
- AWS 云技术要点: Amazon Web Services
