Cloud Cost Optimization
90 LearnersCourse for Beginner Level
4 modules
Interactive environment
12 chapters
AI Assistant
12 assignments
Shareable CertificateWhat you will learn
Course content
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The on-ramp. Account setup that won't leak money, regions and AZs explained so you actually pick the right one, the shared responsibility line you'll cross every day, IAM and STS for handing out permissions correctly, and the three flavors of AWS-native infrastructure as code — CloudFormation, SAM, and CDK. 17 chapters that turn a fresh AWS account into a developer-ready workspace.
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Where your data lives. Deep on Amazon S3 (storage classes, lifecycle rules, bucket policies, presigned URLs, multipart uploads), the DynamoDB chapter most courses get wrong (partition key design, GSI vs LSI, streams, on-demand vs provisioned capacity), Amazon RDS and Aurora for SQL workloads, plus ElastiCache and DAX for putting a cache in front of everything. 16 chapters covering every storage decision a developer faces on AWS.
Deployment, Observability & Security
Shipping and running. The Code suite (CodeCommit, CodeBuild, CodeDeploy, CodePipeline), deployment strategies (Rolling, Blue/Green, Canary), AWS Elastic Beanstalk and the container trio (ECS, Fargate, EKS), CloudWatch metrics and logs, AWS X-Ray for tracing, plus AWS KMS and Secrets Manager for the security layer. 16 chapters that take a working application from commit to production with confidence.
Serverless, Events & Integration
The modern AWS stack. AWS Lambda from cold starts to layers and aliases, the API Gateway you'll actually deploy (REST and HTTP APIs, authorizers, stages, throttling), the four ways AWS does async messaging (SQS, SNS, EventBridge, Kinesis Data Streams), and AWS Step Functions for orchestrating the whole thing.
Introduction to Cloud Computing
Discover the world of cloud computing by exploring its core technologies and practical applications in this course! Begin with the fundamentals of cloud computing and then focus on essential AWS services like S3 (Simple Storage Service) for scalable storage, EC2 (Elastic Compute Cloud) for virtual servers, and RDS (Relational Database Service) for managed databases. Gain hands-on experience as you learn how these services integrate to support modern applications efficiently.
Introduction to Cloud Security
Explore the foundational principles, risks, and best practices of cloud security. This course provides a comprehensive overview of how organizations protect data, applications, and infrastructure in cloud environments, using real-world case studies and conceptual frameworks.
AWS Fundamentals
Build a strong foundation in cloud computing by understanding AWS core concepts, global infrastructure, and key services. Learn how to navigate the AWS Management Console, use CLI and SDKs, and evaluate pricing and support options. Understand best practices through the Well-Architected Framework to design reliable and efficient cloud solutions.
AWS Foundations & Developer Toolkit
The on-ramp. Account setup that won't leak money, regions and AZs explained so you actually pick the right one, the shared responsibility line you'll cross every day, IAM and STS for handing out permissions correctly, and the three flavors of AWS-native infrastructure as code — CloudFormation, SAM, and CDK. 17 chapters that turn a fresh AWS account into a developer-ready workspace.
Data, Storage and Caching on AWS
Where your data lives. Deep on Amazon S3 (storage classes, lifecycle rules, bucket policies, presigned URLs, multipart uploads), the DynamoDB chapter most courses get wrong (partition key design, GSI vs LSI, streams, on-demand vs provisioned capacity), Amazon RDS and Aurora for SQL workloads, plus ElastiCache and DAX for putting a cache in front of everything. 16 chapters covering every storage decision a developer faces on AWS.
Deployment, Observability & Security
Shipping and running. The Code suite (CodeCommit, CodeBuild, CodeDeploy, CodePipeline), deployment strategies (Rolling, Blue/Green, Canary), AWS Elastic Beanstalk and the container trio (ECS, Fargate, EKS), CloudWatch metrics and logs, AWS X-Ray for tracing, plus AWS KMS and Secrets Manager for the security layer. 16 chapters that take a working application from commit to production with confidence.
Serverless, Events & Integration
The modern AWS stack. AWS Lambda from cold starts to layers and aliases, the API Gateway you'll actually deploy (REST and HTTP APIs, authorizers, stages, throttling), the four ways AWS does async messaging (SQS, SNS, EventBridge, Kinesis Data Streams), and AWS Step Functions for orchestrating the whole thing.
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