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+AWS offers a vast array of cloud services, categorized to help users find the right tools for their needs. Here's a breakdown of the main categories and some popular services within each:
+[AWS Training in Pune]([url](https://www.sevenmentor.com/amazon-web-services-training-institute-in-pune.php))
+1. Compute: These services provide the virtual servers and computing resources you need to run applications.
+
+Amazon EC2 (Elastic Compute Cloud): Virtual servers in the cloud, offering various instance types and operating systems.
+AWS Lambda: Run code without managing servers, ideal for event-driven applications.
+Amazon ECS (Elastic Container Service): Run and manage Docker containers.
+Amazon EKS (Elastic Kubernetes Service): Managed Kubernetes service for container orchestration.
+AWS Fargate: Serverless compute for containers.
+2. Storage: Services for storing and managing your data.
+
+Amazon S3 (Simple Storage Service): Object storage for any type of data, highly scalable and durable.
+Amazon EBS (Elastic Block Store): Block storage for use with EC2 instances, like hard drives for your virtual servers.
+Amazon Glacier: Low-cost archive storage for long-term data retention.
+Amazon EFS (Elastic File System): Scalable file storage for Linux-based instances.
+3. Database: Managed database services for various needs.
+
+Amazon RDS (Relational Database Service): Supports various database engines like MySQL, PostgreSQL, SQL Server, etc.
+Amazon Aurora: High-performance, MySQL and PostgreSQL-compatible relational database.
+Amazon DynamoDB: NoSQL database for key-value and document data.
+Amazon Redshift: Data warehousing service for analytics.
+4. Networking & Content Delivery: Services for building and managing your network in the cloud.
+
+Amazon VPC (Virtual Private Cloud): Create your own isolated network in the AWS cloud.
+Amazon Route 53: Scalable DNS service.
+Amazon CloudFront: Content delivery network (CDN) for fast content distribution.
+5. Analytics: Tools for analyzing and gaining insights from your data.
+
+Amazon Athena: Query data in S3 using SQL.
+Amazon EMR (Elastic MapReduce): Big data processing framework.
+Amazon Kinesis: Real-time data streaming and processing.
+Amazon QuickSight: Business intelligence service for data visualization.
+6. Machine Learning: Services for building, training, and deploying machine learning models.
+
+Amazon SageMaker: End-to-end platform for machine learning.
+Amazon Comprehend: Natural language processing service.
+Amazon Rekognition: Image and video analysis service.
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