Designing AWS Architecture for Workloads

Course

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.

Intermediate
2 weeks
Last Updated December 10, 2024

Skills you'll learn:

Cloud architecture model typesCloud migration strategy

Prerequisites:

Amazon Web ServicesCloud developmentDevOpsCloud computing fundamentalsLinux

Intermediate

2 weeks

Last Updated December 10, 2024

Skills you'll learn:

Cloud architecture model types • Cloud migration strategy • Cloud architecture • Hybrid cloud workload deployment

Prerequisites:

Amazon Web Services • Cloud development • DevOps

Course Lessons

Lesson 1

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.

Lesson 2

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.

Lesson 3

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.

Lesson 4 • Project

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.

Taught By The Best

Jonathan Dyer

AI Comp. Sci. Associate at the Center for Advanced AI at Accenture

Jonathan Dyer is an experienced Generative AI Architect and winner of a 2024 BEYA Modern-Day Technology Leader Award. He holds multiple AWS certifications as well as Udacity Nanodegrees. He excels in cloud-native AI systems, deep learning, and data engineering, driving innovation in the field.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.