Need advice: AWS ML Associate or Solutions Architect Associate next?
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.