个结果，搜索词为 "aws sagemaker"
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: Responsible AI, Generative AI, Prompt Engineering, Amazon Bedrock, AWS SageMaker, AI Workflows, Agentic systems, AI Enablement, AI Product Strategy, Generative AI Agents, Amazon Web Services, AI Orchestration, Application Programming Interface (API), Application Development, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, LLM Application, Solution Architecture, Data Management
状态：免费试用状态：人工智能技能Amazon Web Services
您将获得的技能: 负载平衡, 云计算, 亚马逊 S3, AWS 身份和访问管理 (IAM), 亚马逊弹性计算云 Computing, 亚马逊云观察, Virtual Machine, 云基础设施, 数据存储, 虚拟网络化, 可扩展性, 云存储, 通用网络, 数据库开发, 云安全, 亚马逊网络服务, 集装箱化, 亚马逊 DynamoDB, 系统监控
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, Retrieval-Augmented Generation, Generative AI, LangChain, AI Workflows, AI Orchestration, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Applied Machine Learning, Transfer Learning, LLM Application, Embeddings, Amazon Web Services, Context Management, Model Deployment, Amazon S3, Model Evaluation
您将获得的技能: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Transfer Learning, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
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), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management
是什么让您今天来到 Coursera？
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, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, 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
您将获得的技能: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment
状态：免费试用Duke University
您将获得的技能: 机器学习, 模型部署, 微软 Azure, MLOps（机器学习 Operator）, 云部署, 模型评估, 无服务器计算, 云计算解决方案, 数据分析, 功能工程, Python 程序设计, AWS SageMaker, 亚马逊网络服务, 探索性数据分析, 数据预处理, 数据管道
状态：免费试用Duke University
您将获得的技能: 负责任的人工智能, 云计算, 模型部署, 数据伦理, MLOps（机器学习 Operator）, 持续监测, 大型语言模型, 生成式人工智能, 亚马逊基岩, 无服务器计算, 应用程序部署, AI 安全, 亚马逊网络服务, AI 工作流程
状态：新状态：免费试用您将获得的技能: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging
状态：免费试用Whizlabs
您将获得的技能: Data Collection, AWS SageMaker, Feature Engineering, Data Preprocessing, Amazon Web Services, Data Migration, Data Cleansing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Machine Learning
总之，以下是 10 最受欢迎的 aws sagemaker 课程
- SageMaker Unified Studio Foundations for Data Analytics: Amazon Web Services
- AWS Generative AI Applications: Amazon Web Services
- AWS 云技术要点: Amazon Web Services
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- Semantic Segmentation with Amazon Sagemaker: Coursera
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- AWS 上的 GenAI 和 LLMs: Duke University
