3 days ago

Hey everyone,

I’m currently preparing for the AWS Certified Machine Learning Specialty exam and wanted to ask for some advice from people who’ve already taken it or are in the process of studying. I’ve been going through the AWS documentation and experimenting with services like SageMaker, Rekognition, and Comprehend, but I feel like there’s still a lot to cover, especially around model optimization, data engineering, and deployment best practices.

Since this certification goes beyond basic AWS knowledge, I’m trying to find a good balance between theory and hands-on experience. For those who’ve passed the exam, what study approach worked best for you? Did you rely on online courses, official whitepapers, or practice exams?

I’ve also seen several websites offering study guides and practice tests for the AWS Certified Machine Learning Specialty exam, but I’m not sure which ones are actually reliable. If you’ve used any trustworthy platforms or found good mock tests, please share your recommendations.

Also, if anyone has a direct resource link or article they found helpful, please mention it like this, you can check this detailed guide on AWS Certified Machine Learning Specialty exam here: AWS Certified Machine Learning Specialty exam

Looking forward to hearing your suggestions and experiences. It’ll be great to get some insights on how to prepare effectively and avoid common pitfalls before taking the exam!