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
您将获得的技能: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Applied Machine Learning
状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: 亚马逊 S3, 无服务器计算, 亚马逊弹性计算云 Computing, 亚马逊网络服务, AWS 身份和访问管理 (IAM), 亚马逊云观察, 可扩展性, 云计算, 负载平衡, 通用网络, Virtual Private Networks（VPN）, 云安全, 云存储, 数据库, 集装箱化, 亚马逊 DynamoDB
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：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
是什么让您今天来到 Coursera？
状态：新Amazon Web Services
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
状态：免费试用Duke University
您将获得的技能: 云工程, 探索性数据分析, 亚马逊 S3, 无服务器计算, 机器学习, Python 程序设计, AWS SageMaker, 亚马逊网络服务, 数据管道, 机器学习算法, 人工智能和机器学习（AI/ML）, 云计算解决方案, 微软 Azure, 应用机器学习, Machine Learning 方法, 功能工程, 数据分析, MLOps（机器学习 Operator）
状态：免费试用Duke University
您将获得的技能: 生成式人工智能, 安全 Code, 无服务器计算, 云计算, 亚马逊网络服务, 大型语言模型, 持续监测, AWS SageMaker, MLOps（机器学习 Operator）, 负责任的人工智能, 数据伦理, 亚马逊基岩, 应用程序部署
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
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- AWS AI Practitioner: LearnKartS
- AWS AI Practitioner Power Hour: Amazon Web Services
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- Semantic Segmentation with Amazon Sagemaker: Coursera
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
