个结果，搜索词为 "amazon dynamodb"
状态：预览Whizlabs
您将获得的技能: Amazon DynamoDB, Amazon Web Services, NoSQL, Database Management, Query Languages, JSON, Data Storage, Disaster Recovery, Data Manipulation, Scalability
状态：免费Amazon Web Services
您将获得的技能: Amazon DynamoDB, Amazon Web Services, Database Architecture and Administration, NoSQL, Data Store, Operational Databases, Database Management, Data Storage Technologies
状态：免费Amazon Web Services
您将获得的技能: Amazon DynamoDB, NoSQL, Serverless Computing, Database Systems, Database Management Systems
状态：新状态：免费试用Alex Genadinik
您将获得的技能: Selling Techniques, Sales Strategy, Social Media Marketing, Search Engine Optimization, Product Promotion, Advertising Campaigns, Advertising, Digital Advertising, Product Strategy, Keyword Research, Product Marketing, Copywriting, Competitive Analysis, Customer Engagement
状态：免费试用状态：人工智能技能您将获得的技能: File I/O, Git (Version Control System), Software Development Methodologies, JUnit, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Full-Stack Web Development, Test Driven Development (TDD), SQL, Systems Development, Software Development, Functional Requirement, Restful API, Database Management, Object Oriented Programming (OOP), Digital Transformation, Java Programming, Generative AI
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
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Virtual Networking
状态：新状态：免费试用您将获得的技能: AWS Kinesis, AWS SageMaker, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, AWS Identity and Access Management (IAM), Data Security, Databases, Version Control, Apache Spark, Data Modeling, Cloud Security, Cloud Storage, Network Security, Kubernetes, Git (Version Control System), Data Management, AWS CloudFormation, Data Processing
Amazon Web Services
您将获得的技能: Software Architecture, Amazon Web Services, Amazon DynamoDB, Python Programming, Service Oriented Architecture, Cloud Computing Architecture, Microservices, Serverless Computing, Cloud Applications, Application Programming Interface (API), Databases, Scripting, Programming Principles, Automation, Relational Databases, Application Development, Development Environment
状态：免费Amazon Web Services
您将获得的技能: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform
状态：免费Amazon Web Services
您将获得的技能: Microsoft SQL Servers, Database Management, Data Migration, Amazon Web Services, Database Administration, User Accounts
Amazon Web Services
您将获得的技能: 数据管道, 商业分析, 数据库, 数据架构, NoSQL, 数据分析, 亚马逊网络服务, 关系数据库, 大数据, 数据处理, SQL, 数据仓库, 数据转换, 数据存储, 数据驱动的决策制定, 非结构化数据, 摘录
总之，以下是 10 最受欢迎的 amazon dynamodb 课程
- AWS DynamoDB Fundamentals: Whizlabs
- Amazon DynamoDB Primer: Amazon Web Services
- Amazon DynamoDB for Serverless Architectures: Amazon Web Services
- Amazon Ecommerce Marketing And Sales: Amazon SEO, Ads: Alex Genadinik
- Amazon Junior Software Developer: Amazon
- AWS Generative AI and AI Agents with Amazon Bedrock: Amazon Web Services
- Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
- AWS Certified Data Engineer Associate Exam Prep: LearnKartS
- Python for Serverless Applications and Automation on AWS: Amazon Web Services
- Data Engineering on AWS - Foundations: Amazon Web Services
