个结果，搜索词为 "aws sagemaker"
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
状态：新状态：免费Amazon Web Services
状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: 可扩展性, 云计算, 数据库, 亚马逊 S3, 负载平衡, 亚马逊网络服务, 亚马逊弹性计算云 Computing, AWS 身份和访问管理 (IAM), 亚马逊 DynamoDB, Virtual Private Networks（VPN）, 云安全, 亚马逊云观察, 集装箱化, 无服务器计算, 通用网络, 云存储
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
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
是什么让您今天来到 Coursera？
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, Generative AI, Computer Vision, 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：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
状态：新状态：预览Amazon Web Services
您将获得的技能: Amazon CloudWatch, Amazon Web Services, Amazon S3, Amazon Elastic Compute Cloud, Cloud Infrastructure, Data Migration, Cloud Management, MySQL, Virtual Private Networks (VPN), Cloud Security, Database Management, Systems Administration, Network Routing, Network Security, Resource Management, Performance Analysis
状态：免费试用Duke University
您将获得的技能: Python 程序设计, 机器学习, 机器学习算法, 亚马逊 S3, 应用程序部署, 亚马逊网络服务, 云工程, 微软 Azure, 数据分析, 探索性数据分析, 人工智能和机器学习（AI/ML）, 云平台, 功能工程, 数据管道, 应用机器学习, MLOps（机器学习 Operator）, 无服务器计算, AWS SageMaker
状态：免费试用Duke University
您将获得的技能: 大型语言模型, 数据伦理, 生成式人工智能, 云计算, 亚马逊网络服务, 负责任的人工智能, 应用程序部署, 持续监测, 安全 Code, 亚马逊基岩, MLOps（机器学习 Operator）, 无服务器计算, AWS SageMaker
状态：免费试用Whizlabs
您将获得的技能: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning
总之，以下是 10 最受欢迎的 aws sagemaker 课程
- AWS Generative AI Applications: Amazon Web Services
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- SageMaker Unified Studio Foundations for Data Analytics: Amazon Web Services
- AWS 云技术要点: Amazon Web Services
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- Semantic Segmentation with Amazon Sagemaker: Coursera
- AWS AI Practitioner: LearnKartS
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- AWS Fundamentals Lab Series: Amazon Web Services
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
