筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“aws sagemaker” 的结果
- 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
Coursera Project Network
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: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: 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
您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, 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
- 状态:新状态:免费试用
Whizlabs
您将获得的技能: AI Personalization, Fraud detection, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Amazon Web Services, Artificial Intelligence, Natural Language Processing, Text Mining, Data Processing, Document Management
- 状态:新状态:免费试用
您将获得的技能: Amazon Elastic Compute Cloud, Continuous Deployment, Continuous Integration, Debugging
是什么让您今天来到 Coursera?
- 状态:免费试用
Duke University
您将获得的技能: 数据管道, 机器学习, 探索性数据分析, 数据分析, MLOps(机器学习 Operator), 亚马逊 S3, 亚马逊网络服务, 云工程, 机器学习算法, 云计算解决方案, AWS SageMaker, 人工智能和机器学习(AI/ML), Python 程序设计, 功能工程, 无服务器计算, 应用机器学习, 微软 Azure, Machine Learning 方法
- 状态:新状态:免费试用
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Applied Machine Learning, Data Processing, Regression Analysis, Machine Learning, Supervised Learning, Feature Engineering, Data Cleansing, Continuous Deployment, Unsupervised Learning
- 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
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
- 状态:新状态: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, Computer Vision, Generative AI, 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:免费试用状态:人工智能技能
Amazon Web Services
您将获得的技能: 云计算, AWS 身份和访问管理 (IAM), 亚马逊 S3, 云安全, 亚马逊云观察, 亚马逊 DynamoDB, 可扩展性, 无服务器计算, 数据库, 云存储, 亚马逊网络服务, 集装箱化, 亚马逊弹性计算云 Computing, Virtual Private Networks(VPN), 通用网络, 负载平衡
总之,以下是 10 最受欢迎的 aws sagemaker 课程
- AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
- Semantic Segmentation with Amazon Sagemaker: Coursera Project Network
- AWS Generative AI Applications: Amazon Web Services
- Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
- AWS: Managed AI Services: Whizlabs
- AWS: Model Training , Optimization & Deployment: Whizlabs
- MLOps 平台:亚马逊 SageMaker 和 Azure ML: Duke University
- AWS: Machine Learning & MLOps Foundations: Whizlabs
- AWS Generative AI for Developers: Amazon Web Services
- No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt