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Internship for AWS Cloud

AI and DS

The AWS Cloud Internship is designed to give students and professionals in-depth knowledge and practical exposure to one of the world’s most widely used cloud platforms. The program covers the core aspects of AWS, including cloud infrastructure setup, virtualization, networking, and storage solutions using services like EC2, S3, EBS, and VPC. Interns will gain hands-on experience with serverless computing using AWS Lambda, scalable databases with RDS and DynamoDB, and container management with ECS and EKS.

The internship also emphasizes security best practices through IAM roles, policies, and compliance, along with monitoring and automation using CloudWatch and CloudFormation. Participants will learn how to deploy and scale enterprise-grade applications, integrate DevOps workflows with AWS tools, and explore advanced services such as AI/ML, data analytics, and IoT within the AWS ecosystem.

By the end of the internship, learners will be able to design, build, and manage robust, secure, and cost-efficient cloud-based solutions tailored for industries like healthcare, fintech, e-commerce, and enterprise IT, preparing them for highly demanded cloud career roles.

AWS Cloud Internship Topics

Introduction to AWS Cloud
 • Overview of cloud computing and AWS services
 • Applications in web hosting, fintech, healthcare, e-commerce, and enterprise solutions

Core AWS Services
 • Elastic Compute Cloud (EC2) for scalable computing
 • Simple Storage Service (S3) for secure storage and backup
 • Virtual Private Cloud (VPC) for networking and security

Serverless & Application Services
 • Building serverless applications with AWS Lambda
 • Managing APIs with Amazon API Gateway
 • Messaging and queuing with Amazon SQS and SNS

Database & Storage Solutions
 • Working with Amazon RDS, DynamoDB, and Aurora
 • Data warehousing with Amazon Redshift
 • Backup, recovery, and storage management

Security & Identity Management
 • Implementing AWS Identity and Access Management (IAM)
 • Policies, roles, and multi-factor authentication
 • Monitoring and compliance with AWS CloudTrail

Deployment & Real-World Projects
 • Hosting applications on AWS EC2 and Elastic Beanstalk
 • Deploying scalable enterprise projects in the cloud
 • End-to-end cloud-based project implementation

Tools and Technologies Used for AWS Cloud

Editor or Tools : AWS Management Console / AWS CLI / AWS SDKs / CloudFormation / Terraform

Cloud Services : EC2 / S3 / RDS / Lambda / VPC / IAM / CloudFront

Database Services : Amazon RDS / DynamoDB / Aurora / Redshift

DevOps & Monitoring : Elastic Beanstalk / CloudWatch / CloudTrail / CodePipeline / CodeDeploy

AI & ML Services : SageMaker / Lex / Polly / Rekognition / Comprehend

Security & Identity : IAM / KMS / Cognito / Shield / WAF


AI

~ Internship Duration ~

Choose the Best AWS Cloud Internship
Service

Tools and Frameworks in AWS Cloud Internship

AWS

AWS Management Console

AWS CLI

CloudFormation

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