Designing AWS Architecture for Workloads

Overview

The course 'Designing AWS Architecture for Workloads' covers the essential lessons of selecting architecture, migrating workloads, determining new architecture for existing workloads, and creating infrastructure for analytics workloads. Students will learn how to design and implement AWS architecture tailored to various workloads, making informed decisions to optimize performance and efficiency.

Syllabus

Selecting Architecture for Workloads

Master AWS architecture selection for data workloads: Review strategies, apply Well-Architected Framework, and leverage cloud tools for optimized deployment and migration.

Migrating workloads

Explore AWS tools for seamless workload migration. Learn about Discovery, Migration Hub, DMS, and data validation techniques to ensure smooth transitions to the cloud.

Determining new Architecture for Cloud Workloads

Optimize AWS workloads using Well-Architected Tool, modernize architecture with AWS services, enhance performance, reliability, and cost efficiency, leverage hands-on exercises.

Project: Migrating a Credit Card Fraud Pipeline to AWS

Upgrade a fraud detection system by migrating to AWS. Optimize code, deploy services, and enhance security, scalability, and cost-efficiency while ensuring seamless functionality and future readiness.