u/Legitimate_Scene226

I passed the AWS AI Practitioner exam about a month ago, and now I’m confused about what to prepare for next.

I was planning to go for the Machine Learning Associate certification next month because I’m interested in AI/ML, but one of my faculty members suggested that I should do Solutions Architect first since it’s the “core” certification and gives a much stronger foundation.

For context, I’m a CS student and currently exploring cloud + AI together. I don’t want to make the wrong choice in terms of learning path and career value.

So I wanted to ask:

• Should I go for AWS Solutions Architect Associate first or Machine Learning Associate?
• Which one helped you more in internships/jobs/projects?
• Is ML Associate manageable without deep cloud architecture knowledge?
• What topics/resources should I focus on for each exam?

Would really appreciate advice from people who’ve done either (or both) certifications.