AWS Cloud Computing – SpyderWave Technologies

Amazon Web Services

Training Fee & Duration

No. of Days

Monday-Saturday

Duration

90 Hours

Hours

3 Hours a day

Training Fee

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Available Training Modes

Offline Classroom

Course Outline:

The AWS (Amazon Web Services) Cloud Computing course is designed to provide individuals with the knowledge and skills necessary to effectively use AWS cloud services and build scalable and reliable applications on the AWS platform. AWS is one of the leading cloud service providers and offers a wide range of services for computing, storage, networking, databases, and more.

By completing the AWS Cloud Computing course and passing the associated exams, individuals can earn AWS certifications, such as the AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified SysOps Administrator, which are highly regarded in the industry and demonstrate proficiency in AWS cloud technologies.

Course Content:

1. Introduction to AWS

An overview of AWS cloud services, the global infrastructure, and the various AWS service offerings. This section also covers AWS account setup, billing, and pricing models.

2. Compute Services

An in-depth exploration of AWS compute services, such as Amazon EC2 (Elastic Compute Cloud) for virtual servers, AWS Lambda for serverless computing, and Amazon ECS (Elastic Container Service) for containerized applications.

3. Storage and Content Delivery

An examination of AWS storage services, including Amazon S3 (Simple Storage Service) for object storage, Amazon EBS (Elastic Block Store) for block-level storage, and Amazon Glacier for long-term archival storage. Content delivery services like Amazon CloudFront may also be covered.

4. Networking and Security

An overview of AWS networking services, including Amazon VPC (Virtual Private Cloud) for isolated virtual networks, AWS Direct Connect for dedicated network connections, and AWS Identity and Access Management (IAM) for managing user access and permissions.

5. Databases

A deep dive into AWS database services, such as Amazon RDS (Relational Database Service) for managed relational databases, Amazon DynamoDB for NoSQL databases, and Amazon Redshift for data warehousing.

6. Deployment and Management

A focus on AWS deployment and management tools, including AWS CloudFormation for infrastructure as code, AWS Elastic Beanstalk for application deployment, and AWS Systems Manager for managing resources at scale.

7. Monitoring and Automation

An exploration of AWS monitoring and automation services, such as Amazon CloudWatch for monitoring resources and generating alerts, AWS CloudTrail for auditing and logging, and AWS Lambda for serverless automation.

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