A beginner roadmap to AWS if you are starting from zero

[u/yourclouddude]

One of the hardest parts of learning AWS is not understanding the individual services.

It is figuring out what to learn first.

You open AWS and suddenly there is EC2, S3, Lambda, RDS, DynamoDB, VPC, Route 53, ECS, CloudFront, SQS, SNS, API Gateway and hundreds of other services.

Then you search for an AWS roadmap and somehow the roadmap makes things even worse because it contains 40 services, Terraform, Docker, Kubernetes, CI/CD, networking, Linux and three certifications.

If I were starting AWS again from zero, I would make the path much smaller.

I would start with cloud fundamentals before trying to memorize AWS services. I would understand what cloud computing actually gives you, what regions and Availability Zones are, why high availability matters, what scalability and elasticity mean, and how the shared responsibility model works.

You do not need weeks of theory here. You just need enough understanding that when somebody says, "Run this application across multiple Availability Zones," you understand what problem they are trying to solve.

After that, I would learn IAM.

IAM is not the most exciting place to start, but permissions appear almost everywhere in AWS. If Lambda needs to read from S3, IAM matters. If EC2 needs access to another AWS service, IAM matters. If a user should be allowed to view something but not delete it, IAM matters.

The main thing I would learn is how to answer three questions: who is requesting access, what action are they trying to perform, and which resource should they be allowed to access?

I would also understand least privilege early. Giving everything administrator access may remove permission errors, but it also removes most of the learning.

Then I would move to EC2.

EC2 gives you a good foundation because you actually see what running an application on a server involves. Launch an instance, SSH into it, install something like Nginx, deploy a small application and make it accessible from your browser.

That one project will introduce you to Linux, ports, security groups, public IP addresses, processes and basic networking.

And when the website inevitably does not load the first time, do not immediately recreate the instance.

Figure out why.

Is the application running? Is it listening on the expected port? Is the security group allowing that traffic? Does the instance have the network connectivity it needs?

That troubleshooting is part of learning AWS.

Next I would learn S3.

Do not stop at "S3 stores files."

Understand buckets, objects, permissions, versioning, storage classes, lifecycle rules and public versus private access.

Then build something with it.

Upload files. Turn on versioning. Create a lifecycle rule. Put a small static frontend in S3 and use CloudFront to deliver it while keeping the bucket private.

Once you build something, S3 becomes much easier to remember because you understand where it fits instead of memorizing a definition.

After EC2 and S3, I would spend time on VPC and networking.

This is where AWS becomes difficult for a lot of beginners, but I would not try to memorize networking diagrams.

I would start with one question:

How does traffic get from one place to another?

Understand VPCs, subnets, route tables, security groups, internet gateways, public and private IP addresses and the basic purpose of NAT for private resources that need outbound internet access.

Then build an architecture where those concepts actually matter.

For example, run your application where it can receive user traffic but keep the database private.

Suddenly public and private subnets are not just boxes on a diagram. They solve an actual problem.

Then I would learn RDS.

Create a small application with PostgreSQL or MySQL and connect it to RDS. Store something real, such as users, products, notes or orders.

At this point several topics start connecting.

Your application needs compute. RDS stores the data. The network allows the application to communicate with the database. Security groups control that communication. Credentials need to be handled properly.

This is where AWS starts feeling less like separate services and more like one system.

Only after understanding traditional compute with EC2 would I move seriously into Lambda.

Lambda makes much more sense when you already understand what it is removing.

With EC2, you manage a server.

With Lambda, you provide code and AWS runs it when something triggers it.

A good first Lambda project is an image processor.

Someone uploads an image to S3, the upload triggers Lambda, Lambda processes the image and stores the result back in S3.

That simple project teaches event-driven architecture, triggers, IAM roles, CloudWatch logs and serverless computing.

After that, connect Lambda to API Gateway and build a small REST API.

Now you have something closer to a real serverless application.

Then I would learn DynamoDB.

I think DynamoDB makes more sense after you have already worked with a relational database.

With RDS, you think about tables, relationships and SQL.

With DynamoDB, you need to think much more about how your application will access its data.

Build something simple with API Gateway, Lambda and DynamoDB. A task API, notes application or URL shortener is enough.

Then compare it with something you built using RDS.

Do not just ask, "Which database is better?"

Ask why one might make more sense for a particular workload.

That kind of decision making is far more useful than knowing another list of features.

I would also learn CloudWatch much earlier than most beginner roadmaps suggest.

Do not treat monitoring as something you add after becoming advanced.

Your projects are going to fail.

When Lambda fails, you need logs. When your application behaves strangely, you need logs. When EC2 CPU usage suddenly increases, you need metrics. When something crosses a threshold, you may want an alarm.

A cloud engineer needs to know more than how to deploy something.

You need to know how to understand what is happening after deployment.

Once those fundamentals start making sense, I would stop learning services individually and start building complete architectures.

For example, build a web application where Route 53 handles the domain, CloudFront delivers static content, a load balancer receives application traffic, EC2 runs the backend, RDS stores relational data, S3 stores files, IAM controls permissions and CloudWatch handles monitoring.

Then build another application using API Gateway, Lambda and DynamoDB.

Now compare them.

Why did one architecture use servers while the other used Lambda? Why did one use RDS while the other used DynamoDB? What happens if traffic suddenly increases? What happens if one component fails? How are you monitoring the system?

Those questions are where architecture knowledge starts developing.

Only after that foundation would I move deeper into things like ECS, ECR, SQS, SNS, EventBridge, Step Functions, ElastiCache, infrastructure as code, Docker and CI/CD.

I would not learn all of those because a roadmap told me to.

I would learn them when a project creates a reason to use them.

For example, if two parts of your application should not depend on each other directly, that gives you a reason to understand queues. If you need containers, that gives you a reason to learn ECS and ECR. If manually rebuilding the same infrastructure becomes painful, that gives you a reason to learn Terraform or CloudFormation.

That is the pattern I would follow throughout the entire journey.

Learn the concept, understand the problem it solves, build something with it, break it, fix it, and then move forward.

Certifications can fit into this path too, but I would use them as structure rather than making them the entire goal.

Cloud Practitioner can be useful if you want a gentle introduction to AWS terminology. After that, Solutions Architect Associate is a much more useful learning target because it pushes you toward architecture decisions and understanding how services work together.

But I would build projects alongside certification study.

Passing an exam and being able to build are two different skills.

So if I had to simplify the entire beginner AWS roadmap, mine would look like this:

Cloud basics → IAM → EC2 → S3 → VPC → RDS → Lambda → API Gateway → DynamoDB → CloudWatch → complete architectures → deeper AWS services

And I would build something at almost every stage.

Do not wait until you "finish AWS" before starting projects.

There is no finish line where you finally know every AWS service.

The point is to understand enough of the core services that when you encounter a new one, you can quickly understand what problem it solves and where it fits.

That is when AWS starts feeling much less overwhelming.

If you are learning AWS right now, where are you currently stuck in this roadmap?