A practical, hands-on course that teaches how to design, implement, and operate AWS architectures that are secure, resilient, high-performing — and cost-optimized. Built around the SAA-C03 exam domains, this course emphasizes real-world tradeoffs, cost-management tools, and lab-driven practice so you can both pass the exam and apply the techniques to production systems.

Who this course is for

• Cloud engineers and architects preparing for AWS Certified Solutions Architect — Associate (SAA-C03).

• Technical leads who must justify architectural choices with cost/benefit analysis.

• DevOps and platform engineers responsible for reducing cloud spend while maintaining SLAs.

• Teams migrating databases and services to AWS who need cost-aware designs.

Cloud engineers and architects preparing for AWS Certified Solutions Architect — Associate (SAA-C03).

Technical leads who must justify architectural choices with cost/benefit analysis.

DevOps and platform engineers responsible for reducing cloud spend while maintaining SLAs.

Teams migrating databases and services to AWS who need cost-aware designs.

Learning objective titles (what you’ll be able to do)

Design Cost-Optimized AWS Architectures

Select Cost-Effective Compute & Database Services

Apply AWS Cost-Management Tools for Monitoring & Control

Design Cost-Efficient Network Topologies and Data-Transfer Optimization

Plan Database Capacity, Replication, and Autoscaling Strategies

Implement Caching and Data-Retention Policies for Cost Savings

Execute Homogeneous and Heterogeneous Database Migrations

Perform Cost/Benefit Analysis and TCO Justification

Detailed outcomes — what you will learn (expanded)

• Cost-driven architecture design: Translate RTO/RPO, performance, and security requirements into architecture patterns that minimize TCO. Learn concrete tradeoffs (e.g., active-active vs warm-standby; read replicas vs caching).

• Compute & sizing: Pick instance families, Savings Plans / RIs, Spot vs On-Demand, and serverless options for particular workloads; perform right-sizing and autoscaling strategies.

• Database strategies: Design cost-efficient relational and non-relational solutions — DynamoDB capacity modes, Aurora sizing and serverless options, read replicas, partitioning, and archival patterns.

• Caching & data retention: Architect caching tiers (ElastiCache, DAX, CloudFront) and S3 lifecycle/Glacier policies to lower storage and IO costs while meeting recovery and compliance goals.

• Network & data transfer: Minimize egress and cross-AZ/region costs via topology (TGW, peering), endpoints, Direct Connect vs VPN tradeoffs, and NAT/peering tactics.

• Cost tooling mastery: Use Cost Explorer (reports & anomaly detection), AWS Budgets (alerts & budget actions), and the Cost & Usage Report (CUR + Athena) for showback, chargeback, and automated remediation.

• Migration techniques: Plan and execute homogeneous and heterogeneous migrations (DMS, SCT, logical replication) with minimal downtime and cost.

• Quantitative justification: Build simple TCO and ROI calculations, derive amortized reservation allocation, and produce an exam-quality justification document for architecture choices.

  
  

Cost-driven architecture design: Translate RTO/RPO, performance, and security requirements into architecture patterns that minimize TCO. Learn concrete tradeoffs (e.g., active-active vs warm-standby; read replicas vs caching).

Compute & sizing: Pick instance families, Savings Plans / RIs, Spot vs On-Demand, and serverless options for particular workloads; perform right-sizing and autoscaling strategies.

Database strategies: Design cost-efficient relational and non-relational solutions — DynamoDB capacity modes, Aurora sizing and serverless options, read replicas, partitioning, and archival patterns.

Caching & data retention: Architect caching tiers (ElastiCache, DAX, CloudFront) and S3 lifecycle/Glacier policies to lower storage and IO costs while meeting recovery and compliance goals.

Network & data transfer: Minimize egress and cross-AZ/region costs via topology (TGW, peering), endpoints, Direct Connect vs VPN tradeoffs, and NAT/peering tactics.

Cost tooling mastery: Use Cost Explorer (reports & anomaly detection), AWS Budgets (alerts & budget actions), and the Cost & Usage Report (CUR + Athena) for showback, chargeback, and automated remediation.

Migration techniques: Plan and execute homogeneous and heterogeneous migrations (DMS, SCT, logical replication) with minimal downtime and cost.

Quantitative justification: Build simple TCO and ROI calculations, derive amortized reservation allocation, and produce an exam-quality justification document for architecture choices.

Prerequisites (summary)

• Active AWS account (billing enabled).

• Basic cloud and networking knowledge; comfort with CLI.

• Recommended: 3–6 months AWS experience or Cloud Practitioner level.

Active AWS account (billing enabled).

Basic cloud and networking knowledge; comfort with CLI.

Recommended: 3–6 months AWS experience or Cloud Practitioner level.