My First Steps Into AWS as a B.Tech AI/ML Student

In my AI/ML classes, most of my work runs on my own laptop. But real-world AI applications are deployed on the cloud, and I want to understand how that actually works: where models are hosted, how data is stored, and how applications scale.
What I'm starting with
Creating my AWS Builder ID and joining AWS Builder Center
Learning the cloud basics: compute, storage, networking and pricing
Exploring AWS Skill Builder for courses and hands-on labs
Working toward the AWS Certified AI Practitioner certification
My plan for the next few months
Finish the cloud fundamentals course
Learn the basics of AI and ML services on AWS
Deploy a small ML project to the cloud
Share what I learn here, including mistakes
What I hope to get from this community
I'm a beginner, so I'd really appreciate advice from people who have been here longer. Things like which services to learn first, common beginner mistakes, and good projects to build.
A question for you
What is one thing you wish you had known when you first started with AWS? Please share it in the comments, because it will help me and other beginners too.
Thanks for reading, and I'll post updates as I make progress!