u/Ahmed_Maher658

I am devops and cloud engineer with 3 years of experience and a good background in software engineering and backend development using languages like python, typescript, and java. I have a CS degree and good background on math and computer science subjects and I'm considering switching to mlops role. I already work with the cloud, CI pipelines, and kubernetes clusters and infra everyday so I think I already cover a good portion of the requirements for the job but I am pretty clueless to anything related to machine learning and how models lifecycles are managed, integrated like in SDLC. I was wondering about the amount of new materials I would need to study, technologies and concepts I will need to get familiar with and hands on experience required. If someone here came from a similar background, do you consider the transition from devops to mlops an easy or even viable medium-term goal? Is there any materials do you recommend specifically for engineers with existing technical background in software and cloud?

I booked my AWS SAP exam using a voucher for the 1st of May, I had to reschedule it to the 1st of July, and the Pearson VUE online rescheduling feature let me pick that date. My question is: if they let me do it, does that mean the voucher is valid until that future date of July 1st? Could the voucher expire before July, meaning that when I try to log in to the exam on July 1st, they cancel it because the voucher is no longer valid?