个结果，搜索词为 "aws sagemaker"
Amazon Web Services
您将获得的技能: AWS SageMaker, Generative AI, Data Lakes, Data Governance, Data Architecture, Data Management, SQL, Model Training, Applied Machine Learning
Amazon Web Services
您将获得的技能: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management
Amazon Web Services
您将获得的技能: Amazon Bedrock, Prompt Engineering, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Fine-tuning, LangChain, AI Workflows, Agentic Workflows, Model Training, Model Optimization, Large Language Modeling, Artificial Intelligence, Token Optimization, Transfer Learning, LLM Application, AI literacy, Amazon Web Services, Context Management
您将获得的技能: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation
您将获得的技能: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Encryption, Key Management
您将获得的技能: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning
是什么让您今天来到 Coursera？
Amazon Web Services
您将获得的技能: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI, LLM Application, Multimodal Prompts, Large Language Modeling, Applied Machine Learning, Model Training, Scikit Learn (Machine Learning Library), Image Analysis, Business Writing
您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, 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
Duke University
您将获得的技能: 数据分析, 功能工程, 模型培训, 模型评估, Amazon Web Services, 应用机器学习, 机器学习方法, 探索性数据分析, Microsoft Azure, MLOps（机器学习运营）, 机器学习, 微软 Azure, 无服务器计算, 云部署, AWS SageMaker, Python 编程, 模型部署, Model Evaluation, 数据管道, 数据预处理
Duke University
您将获得的技能: 生成式人工智能, 模型培训, 云计算, 亚马逊基岩, 大型语言建模, Amazon Web Services, 模型评估, MLOps（机器学习运营）, 法学硕士申请, 开发环境, 持续监测, 数据伦理, 无服务器计算, 拉斯特（编程语言）, 人工智能安全, 人工智能工作流程, Model Evaluation, 模型部署
您将获得的技能: Responsible AI, Amazon Bedrock, Fine-tuning, Generative AI, AWS SageMaker, Generative Model Architectures, Machine Learning Methods, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Model Training, Model Optimization, Model Evaluation, Model Deployment, Artificial Intelligence, System Monitoring
您将获得的技能: Model Optimization, Model Training, Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Classification Algorithms, Continuous Deployment, Continuous Integration, Predictive Modeling, Debugging
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 Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- Semantic Segmentation with Amazon Sagemaker: Coursera
- AWS Generative AI Lab Series: Amazon Web Services
- Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- AWS 上的 GenAI 和 LLMs: Duke University
