AWS Cloud Architect

Name: AWS Cloud Architect Nanodegree Program
Rating: 4.6 (198 reviews)

Nanodegree Program

Master the skills to design, deploy, and optimize cloud architectures using AWS. Learn to implement network connectivity strategies, manage multi-account environments with AWS Organizations and Control Tower, and optimize costs using tools like AWS Cost Explorer. Migrate and modernize data processing solutions by planning tailored migration strategies, optimizing analytics workloads, and enhancing scalability with AWS tools like Glue and Athena. Modernize legacy systems, design high-performance cloud solutions, and reduce costs by leveraging serverless and event-driven architectures, AWS Budgets, and CloudFormation. Through hands-on experience, gain real-world experience in architecting robust, scalable, and cost-efficient AWS infrastructures.

Intermediate
1 month
Last Updated December 17, 2024

Skills you'll learn:

Cloud architectureInfrastructure as code

Prerequisites:

Application architectureLinuxAWS cloudformationBasic web developmentDevOps

Intermediate

1 month

Last Updated December 17, 2024

Skills you'll learn:

Cloud architecture • Infrastructure as code • Cloud cost management • Serverless cloud computing architecture

Prerequisites:

Application architecture • Linux • AWS cloudformation

Courses In This Program

Course 1 • 45 minutes

Welcome to the Nanodegree Program!

Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!

Lesson 1

Welcome!

Welcome to Udacity. Takes 5 minutes to get familiar with Udacity courses and gain some tips to succeed in courses.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 1

Welcome!

Welcome to Udacity. Takes 5 minutes to get familiar with Udacity courses and gain some tips to succeed in courses.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Course 2 • 2 weeks

Designing AWS Architecture for Organizations

Learn to design and implement secure and scalable AWS network architectures. Explore strategies for managing multi-account environments using AWS Organizations and Control Tower. Develop cost and visibility strategies, leveraging tools like AWS Cost Explorer and tagging for effective cost management. Through hands-on exercises, you'll gain the skills to configure VPCs, establish secure connectivity, enforce governance, and optimize costs. By the end of the course, you'll be prepared to architect robust, efficient, and compliant AWS infrastructures for real-world scenarios.

Lesson 1

Architect Network Connectivity Strategies

Learn to design secure and scalable AWS network architectures, configure VPCs, implement connectivity using Direct Connect and VPN, and monitor network traffic with AWS tools.

Lesson 2

Design a Multi-Account AWS Environment

Design and manage multi-account AWS environments using AWS Organizations and Control Tower, implement governance policies, and set up centralized logging and notification strategies.

Lesson 3

Determine Cost and Visibility Strategies

Analyze costs with AWS Cost Explorer, optimize resource usage, implement rightsizing strategies, and use tagging for effective cost allocation and enhanced financial visibility.

Lesson 4 • Project

Project: Design and Architect Infrastructure for an Organization

Consolidate and optimize a multi-account AWS architecture, design secure connectivity, enforce governance, and implement cost controls for a company in a real-world scenario.

Lesson 1

Architect Network Connectivity Strategies

Learn to design secure and scalable AWS network architectures, configure VPCs, implement connectivity using Direct Connect and VPN, and monitor network traffic with AWS tools.

Lesson 2

Design a Multi-Account AWS Environment

Design and manage multi-account AWS environments using AWS Organizations and Control Tower, implement governance policies, and set up centralized logging and notification strategies.

Lesson 3

Determine Cost and Visibility Strategies

Analyze costs with AWS Cost Explorer, optimize resource usage, implement rightsizing strategies, and use tagging for effective cost allocation and enhanced financial visibility.

Lesson 4 • Project

Project: Design and Architect Infrastructure for an Organization

Consolidate and optimize a multi-account AWS architecture, design secure connectivity, enforce governance, and implement cost controls for a company in a real-world scenario.

Course 3 • 2 weeks

Designing AWS Architecture for Workloads

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.

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.

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

Course 4 • 2 weeks

Modernizing and Optimizing Architecture

Transform legacy systems and design high-performing, cost-efficient cloud architectures using AWS. Explore modernization techniques like serverless and event-driven designs, and implement optimization strategies for scalability and efficiency. Gain hands-on experience automating infrastructure with AWS CloudFormation, reducing latency with CloudFront, and optimizing resources with Auto Scaling and AWS Budgets. Architect and deploy a cloud-based AI solution using Amazon Bedrock for performance, security, and cost objectives. Modernize and optimize cloud infrastructures for real-world applications.

Lesson 1

Modernizing and Optimizing Workloads

Modernize workloads with serverless and event-driven architectures, automate infrastructure using AWS CloudFormation, and enhance efficiency with advanced optimization techniques.

Lesson 2

Designing Solutions to Meet Performance Objectives

Design high-performance solutions with AWS to reduce latency, improve scalability, and optimize resources using tools like AWS CloudFront and Auto Scaling for real-world cloud applications.

Lesson 3

Identifying Opportunities for Cost Optimizations

Monitor and optimize AWS costs using tools like AWS Budgets and S3 lifecycle policies, and implement strategies to reduce expenses while maintaining performance and scalability.

Lesson 4 • Project

Project: Modernizing and Optimizing Infrastructure for AI Workloads and Solutions

Design and deploy a scalable, secure cloud-based AI solution with Amazon Bedrock, optimize costs, and automate infrastructure using AWS best practices.

Lesson 1

Modernizing and Optimizing Workloads

Modernize workloads with serverless and event-driven architectures, automate infrastructure using AWS CloudFormation, and enhance efficiency with advanced optimization techniques.

Lesson 2

Designing Solutions to Meet Performance Objectives

Design high-performance solutions with AWS to reduce latency, improve scalability, and optimize resources using tools like AWS CloudFront and Auto Scaling for real-world cloud applications.

Lesson 3

Identifying Opportunities for Cost Optimizations

Monitor and optimize AWS costs using tools like AWS Budgets and S3 lifecycle policies, and implement strategies to reduce expenses while maintaining performance and scalability.

Lesson 4 • Project

Project: Modernizing and Optimizing Infrastructure for AI Workloads and Solutions

Design and deploy a scalable, secure cloud-based AI solution with Amazon Bedrock, optimize costs, and automate infrastructure using AWS best practices.

Taught By The Best

Mike Hammond

Technical Trainer

Mike has been a technology educator for 25 years, focused on making technology easy for people to understand. He recently completed 5 years as an employee of Amazon Web Services in the Training and Certification organization.

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.

Joseph Nicolls

Lead Engineer, ML/AI

Joseph has a bachelor’s degree in Biomedical Computation from Stanford University and over 5 years of technical experience in developing scalable machine learning workflows for cybersecurity use cases. In his free time, he enjoys reading with his wife and jogging by the San Francisco Bay.

Student Reviews

Average Rating: 4.6 Stars

198 Reviews

Venu R.

September 26, 2022

Great

Alejandro V.

September 21, 2022

It's the perfect combination of hands-on and theory to get a solid understanding of some of the key components of AWS

Felipe C.

August 19, 2022

Well done. Hoewever thje second project is too ambiguos.

Phuc V.

May 7, 2022

I just finished the first project, it's really great project and nearly what i did in my real job

Rahul K.

April 19, 2022

I was already working with AWS, but didn't have any formal recognition for it. This Certifcation will help in my career path for sure.

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