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The Good Parts of AWS: Cutting Through the Clutter

Become an AWS pro with insights from a seasoned Amazon engineer. Get hands-on with essential AWS services like DynamoDB, S3, and EC2. No setup, no cleanup, no hassle.

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Overview

Content

Reviews

This is not your typical AWS reference course. You won’t find most of the knowledge that's shared here in the AWS docs. The goal here is to help you realize which AWS features you’d be foolish not to use — features that have passed the test of time by being at the backbone of most things on the Internet. In this course, you'll learn a technique used to help make reliable technical choices without getting paralyzed in the face of so many options. You’ll start by going through the most fundamental services AWS offers such as DynamoDB, S3, EC2. Each section breaks down how it’s used, the pros and cons, why you should (or shouldn't) be using it, and more. This course was written by a former Amazon engineer with 15 years of experience working on AWS.

This is not your typical AWS reference course. You won’t find most of the knowledge that's shared here in the AWS docs. The goal...Show More

Content

36 Lessons15 Quizzes5 Cloud Labs

Before Getting Started

2 Lessons

Get familiar with indispensable AWS features and make effective technical choices.

What is this course about?

The Default Heuristic

Part 1: The Good Parts

11 Lessons

Walk through essential AWS tools for databases, storage, compute, networking, and integration.

Database: DynamoDB

Storage: S3

Compute: EC2

Compute: EC2 Auto Scaling

Compute: Lambda

Networking & Content Delivery: ELB

Networking & Content Delivery: Route 53

Management & Governance: CloudFormation

Application Integration: SQS

Media Service: Kinesis

Quiz - Basic AWS Services

Part 2: The Bootstrap Guide

22 Lessons

Work your way through setting up and scaling applications on AWS using automation.

Starting from Scratch: Basic Web Application

Starting from Scratch: Manual AWS Infrastructure

Infrastructure as Code: Create CloudFormation Stack

Infrastructure as Code: Deploy CloudFormation Stack

Automatic Deployments: CodeBuild

Automatic Deployments: Install CodeDeploy Agent on EC2

Automatic Deployments: Create a CodePipeline

Load Balancing: Add a second EC2 Instance

Load Balancing: Add an Application Load Balancer

Scaling: Add an Auto Scaling Group

Scaling: Remove Instances

Production: Add Stack Name to our Application

Production: Create Staging Stack

Production: Create Production Stack

Custom Domains: Register Domain with Route 53

Custom Domains: Map our Domain to Load Balancers

HTTPS: Create a TLS Certificate

HTTPS: Add an HTTPS Endpoint

HTTPS: Make the Application Speak HTTPS

Network Security: Set up SSM for SSH Access

Network Security: Add Private Subnets with NAT Gateway

Network Security: Enabling HTTPS port in Public Subnets

Host Our Application on EC2 Instance

Cloud Lab

Infrastructure as Code

Cloud Lab

Automatic Deployments: Create a CI/CD Pipeline

Cloud Lab

Load Balancing: Add an Application Load Balancer

Cloud Lab

Scaling: Add an Auto Scaling Group

Cloud Lab

Conclusion

1 Lessons

Grasp the fundamentals of cleaning up AWS resources and explore future learning opportunities.

Wrap up!

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Daniel Vassallo

Developed by MAANG Engineers

Every Educative resource is designed by our in-house team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who’ve shipped production code at scale and taught the theory behind it. The goal is to get you hands-on with the skills you need to stay ahead in today's constantly evolving tech landscape. No videos, no fluff — just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

Adaptive Learning

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AI Code Mentor

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