As a Computer Science student aiming to become an AI Engineer, I've noticed that job postings often require AWS skills. While I have a solid grasp of AI theory and modeling, I want to learn how to transition from local development to working with cloud-scale production. I'm seeking a structured roadmap to master the AWS ecosystem specifically for AI and machine learning. Any advice on where to start?
1 Answer
It's great that you're committed to learning AWS! Just keep in mind that AWS is vast—like, over 200 services! The role of an 'AI Engineer' can vary, but ultimately, you're likely to dip into data science and engineering. You might have to grasp a bit about networking, operating systems, and other aspects unless you're working with something fully managed. It could help to either broaden your knowledge greatly or find a focused area to dive into.
I totally get what you're saying! I felt overwhelmed too. My goal isn't to become a Cloud Architect either; I'm just looking for the essentials to deploy my AI models and stay competitive in the job market. Your insights are really guiding me!