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, 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：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：新状态：预览Amazon Web Services
您将获得的技能: Prompt Engineering, Amazon Bedrock, Model Context Protocol, AI Security, AI Workflows, AI Orchestration, Generative AI, Vibe coding, Secure Coding, LLM Application, Responsible AI, Amazon Web Services, Integrated Development Environments
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, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
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：免费试用您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, 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: Python 编程, 模型评估, 云部署, MLOps（机器学习运营）, AWS SageMaker, Microsoft Azure, 数据管道, 模型部署, 机器学习, 云解决方案, 无服务器计算, 功能工程, 探索性数据分析, 数据预处理, 数据分析, Amazon Web Services
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, Machine Learning
状态：免费试用Duke University
您将获得的技能: 持续监测, 数据伦理, 云计算, 生成式人工智能, 应用程序部署, MLOps（机器学习运营）, 大型语言建模, 人工智能工作流程, 负责任的人工智能, 亚马逊基岩, 模型部署, Amazon Web Services, 人工智能安全, 无服务器计算
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 aws sagemaker 课程
- AWS Generative AI Applications: Amazon Web Services
- SageMaker Unified Studio Foundations for Data Analytics: Amazon Web Services
- AWS Generative AI Essentials: 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 Associate: Whizlabs
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- AWS: Model Training , Optimization & Deployment: Whizlabs
