After a year of hiatus in taking AWS Certification exams, I’m back in upskilling my professional profile – this time with ML/AI. I recently took the AIF-C01 exam and personally, I like all of the ML concepts that I was able to grasped because of my two-month long prep. Learned about embeddings, prompting types ( few-shot / one-shot), aws responsible ai policy, overfitting/underfitting, RAG, loads of ML algorithms/processes and more.
AIF-C01 Resources I used: Help You Prepare for Amazon AIF-C01 & CLF-C02 Exam
Why Did I take this AIF-C01 exam?
I know that you can do a self-study method in order to upgrade your skills but to be honest, that didn’t work for me. ML is like a maze of information and I wanted a proven track that I can just run along. I also want to really validate my knowledge if I really am understanding the concepts and not just do a “self-validation”.
Another reason is I want to differentiate myself from the millions of so-called ML experts on Linkedin and other job boards, on top of my ML projects on GitHub. The job market is getting tough folks so better be well-prepared than not.
Next Stop is MLA-C01.