Aws Course in Ghaziabad

Aws Course in Ghaziabad

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Best Aws Training in Ghaziabad Overview

Amazon web services is a cloud computing platform that offers a wide variety of cloud computing services to businesses worldwide. AWS helps companies in cutting costs, increasing productivity and improving security. AWS is scalable, reliable and secure in comparison to other cloud based solutions. Here is a list of benefits of pursuing AWS Course in Ghaziabad:

1. Futuristic

AWS is far much more than just a cloud based platform. Apart from providing  data maintenance services for businesses. AWS also supports advanced technologies such as artificial intelligence and machine learning. This makes AWS a cloud solution for the future.

2. Network

Amazon has been delivering cloud based solutions to companies for more than a decade. They have built a huge network of partners around the world which makes AWS an ideal choice for companies with their business operations spread across the world.

3. Security

Security is the main concern for businesses everywhere. Organizations often have to store their customers confidential information which if lost can also result in shutting down of business. This is the reason why companies trust AWS with their data since AWS provides a secure environment for them to operate.

4. Competitive edge

The best part about using AWS cloud platform is that you can also benefit from their innovative technological solution which will give you a competitive edge in the market.

As long as you are using AWS you wil...

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Learn The Essential Skills

Learn The Essential Skills

Earn Certificates And Degrees

Earn Certificates And Degrees

Get Ready for The Next Career

Get Ready for The Next Career

Master at Different Areas

Master at Different Areas

What you will learn?

  • Cloud Computing Fundamentals:You'll gain a solid understanding of cloud computing concepts like scalability, elasticity, and pay-as-you-go pricing.
  • AWS Services: AWS offers a wide range of services, from compute, storage, and databases to networking, analytics, and security. The course will introduce you to the most popular services and how they can be used to build cloud-based applications.
  • Security in the Cloud: Security is a critical aspect of cloud computing. The course will teach you how to secure your data and applications in the AWS cloud
  • .Management Tools: AWS provides a variety of tools for managing your cloud resources. The course will teach you how to use these tools to provision, monitor, and optimize your resources
  • .Hands-on Labs: Most AWS courses include hands-on labs that allow you to practice what you learn. These labs will give you valuable experience working with AWS services.

Skill you will gain

  • Navigating the AWS Management Console

  • Understanding AWS Architecture and Infrastructure

  • Compute Services

  • Storage Solutions

  • Databases in AWS

  • Networking in AWS

Explore Modules of this course

Introduction to AWS

Overview of AWS services and cloud computing concepts. AWS global infrastructure and regions.

Compute Services:

Amazon EC2 (Elastic Compute Cloud) for scalable virtual servers. AWS Lambda for serverless computing.

Storage Services:

Amazon S3 (Simple Storage Service) for object storage. Amazon EBS (Elastic Block Store) for block storage.

Database Services:

Amazon RDS (Relational Database Service) for managed databases. Amazon DynamoDB for NoSQL databases.

Networking and Content Delivery

Amazon VPC (Virtual Private Cloud) for network isolation. Amazon CloudFront for content delivery.

Security and Identity Services:

AWS IAM (Identity and Access Management) for user access control. AWS Cognito for user authentication.

Management and Governance:

AWS CloudWatch for monitoring and logging. AWS Config for resource configuration management.

Deployment and Management Tools:

AWS Elastic Beanstalk for application deployment. AWS OpsWorks for configuration management.

Serverless Computing:

Certainly, here are the key modules typically covered in an AWS (Amazon Web Services) course: 1. **Introduction to AWS:** - Overview of AWS services and cloud computing concepts. - AWS global infrastructure and regions. 2. **Compute Services:** - Amazon EC2 (Elastic Compute Cloud) for scalable virtual servers. - AWS Lambda for serverless computing. 3. **Storage Services:** - Amazon S3 (Simple Storage Service) for object storage. - Amazon EBS (Elastic Block Store) for block storage. 4. **Database Services:** - Amazon RDS (Relational Database Service) for managed databases. - Amazon DynamoDB for NoSQL databases. 5. **Networking and Content Delivery:** - Amazon VPC (Virtual Private Cloud) for network isolation. - Amazon CloudFront for content delivery. 6. **Security and Identity Services:** - AWS IAM (Identity and Access Management) for user access control. - AWS Cognito for user authentication. 7. **Management and Governance:** - AWS CloudWatch for monitoring and logging. - AWS Config for resource configuration management. 8. **Deployment and Management Tools:** - AWS Elastic Beanstalk for application deployment. - AWS OpsWorks for configuration management. 9. **Serverless Computing:** - AWS Lambda for event-driven, serverless functions. - AWS API Gateway for building and managing APIs. 10. **Big Data and Analytics:** - Amazon EMR for big data processing. - Amazon Redshift for data warehousing. 11. **IoT (Internet of Things):** - AWS IoT Core for IoT device management. - AWS IoT Analytics for data analysis. 12. **DevOps and CI/CD:** - AWS CodePipeline for continuous integration and continuous delivery. - AWS CodeDeploy for automated application deployment. 13. **Cost Management:** - AWS Cost Explorer for cost monitoring and optimization. - AWS Budgets for budgeting and forecasting. 14. **Architecting on AWS:** - Best practices for designing scalable, fault-tolerant architectures. - AWS Well-Architected Framework. These modules cover a range of AWS services and concepts, providing a comprehensive understanding of cloud computing with AWS. AWS API Gateway for building and managing APIs.

Big Data and Analytics:

Amazon EMR for big data processing. Amazon Redshift for data warehousing.

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