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AWS Services Selection / Decision Guides
Rating: 4.5 out of 5(6 ratings)
4,498 students

AWS Services Selection / Decision Guides

Choose the right AWS service every time. Master decision guides for Compute, Storage, Databases, ML, and Security.
Created byDeepak Dubey
Last updated 10/2025
English

What you'll learn

  • Confidently select the optimal AWS service for any given technical requirement.
  • Make informed decisions based on key factors like cost, performance, scalability, and features.
  • Compare and contrast services within all major AWS categories (Compute, Storage, Database, ML, etc.).
  • Understand the key differences and specific use cases for similar services (e.g., RDS vs. DynamoDB, SQS vs. SNS).

Course content

1 section11 lectures6h 0m total length
  • AWS Analytics Services Selection / Decision Guide41:21
  • AWS Application Integration Services Selection / Decision Guide40:55
  • AWS Compute Services Selection / Decision Guide - Part 146:52
  • AWS Compute Services Selection / Decision Guide - Part 228:24
  • AWS Database Services Selection / Decision Guide39:29
  • AWS Machine Learning Services Selection / Decision Guide - Part 118:56
  • AWS Machine Learning Services Selection / Decision Guide - Part 220:52
  • AWS Security Services Selection / Decision Guide - Part 125:52
  • AWS Security Services Selection / Decision Guide - Part 239:32
  • AWS Storage Services Selection / Decision Guide - Part 139:44
  • AWS Storage Services Selection / Decision Guide - Part 218:30

Requirements

  • A foundational understanding of cloud computing concepts is required.
  • Basic familiarity with the core AWS services is highly recommended (e.g., you should know what EC2, S3, and RDS are).
  • No programming experience or active AWS account is needed, as this course focuses on decision-making and theory.

Description

Are you overwhelmed by the sheer number of services in the AWS cloud?

With hundreds of services, each with its own acronyms and features, the most difficult part of designing a solution on AWS is simply choosing the right tool for the job.

  • When should you use EC2 vs. Lambda vs. Fargate?

  • What's the real difference between RDS, DynamoDB, Aurora, and Redshift?

  • How do you decide between SQS, SNS, and EventBridge?

  • Is S3, EBS, or EFS the right choice for your storage needs?

Choosing the wrong service can lead to poor performance, runaway costs, and solutions that are difficult to scale. This course is designed to solve that problem.

This isn't just another "what is" course that lists services. This is a "when to use" and "why to choose" course.

We've done the hard work for you by creating a series of clear, practical, and opinionated decision guides for every major AWS category. Through concise lectures, we will systematically compare and contrast services side-by-side, focusing on the key factors that matter in the real world: cost, performance, scalability, integration, and management overhead.

In this course, you will master the art of AWS service selection for:

  • Compute

  • Storage

  • Databases

  • Application Integration

  • Analytics

  • Machine Learning

  • Security

By the end of this course, you will be able to look at any technical requirement and confidently and quickly select the most effective and cost-efficient AWS service to meet it. You'll stop guessing and start designing like a senior Solutions Architect.

Who is this course for?

  • Aspiring or current AWS Solutions Architects.

  • Developers and DevOps Engineers who build and deploy applications on AWS.

  • Anyone studying for AWS certifications (especially Solutions Architect Associate or Professional).

  • Technical managers who need to approve architectural decisions.

If you're tired of navigating the "analysis paralysis" of the AWS console, this course is for you.

Enroll today and learn to choose the right AWS service, every single time.

Who this course is for:

  • IT professionals and technical managers who get overwhelmed by the large number of AWS services.
  • Anyone who wants to move beyond what a service does and learn when and why to use it.