Gcp professional machine learning engineer reddit.
Thanks a lot! I passed it earlier today.
Gcp professional machine learning engineer reddit I also used We would like to show you a description here but the site won’t allow us. Mar 6, 2022 · For those unfamiliar, the Google Cloud Professional Machine Learning Engineer (PMLE) certification is an exam designed by Google to certify one in the following skillsets:. Thanks a lot! I passed it earlier today. Highly recommended to sign up for the course if comprehensive explanations are needed for both right and wrong responses Dec 19, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. 3 months of me explaining the problem over and over again and GCP customer support engineer coming back and giving me a solution to We would like to show you a description here but the site won’t allow us. Youll find the link where you order the actual exam. The last time I tried, I got 35%. And that turned out to be true. The ML Engineer handles large, complex datasets and creates repeatable, reusable code. While looking at some dumps, I can say that is exam seems to be really hard. Practice tests at various websites seem easy. com The fact that you were able to get the gcp associate cloud cert means you're skilled and focused enough to get the ML cert. I think thats a fine ratio. I am learning for that GCP cert right now with a goal of pursuing an exam at July/August. Hi Everyone, I am planning to appear for GCP Machine Learning Engineer Certification. So to answer the question. Frame ML problems I'm trying to achieve the GCP Professional Machine Learning Engineer Certification as requested from my company, but I am struggling with the video lessons. I was surprised in a pleasant way how well it represented the role. This repository contains a comprehensive list of practice questions from Alex Levkovich's course on Udemy to help you prepare for the Google Cloud Professional Machine Learning Engineer (GCP PMLE) certification exam. Google ML Certification 2022/01/08/gcp-ml-engineer-prep Machine Learning Engineer My personal favourite experience with GCP is 3 months long back and forth chat with their customer support agent (those 3 months also include 2 escalations) to solve a problem caused by a bug in GCP ecosystem. View community ranking In the Top 5% of largest communities on Reddit. Once you've put in a decent amount of time studying the material, work through some good practice exams like the ones on the certification practice site. I find this approach too slow and time-consuming, and I'd prefer studying on books or online resources that I can read and sum up. I have collected a couple of articles for reference (how to start, what to read, dos and don't). Never used gcp in my life or any other cloud for that matter. I have been preparing for GCP Professional Machine Learning Engineer certification for a while. There were significant technical parts as well as parts where they have you look at code, but at the same time there are also some select-the-best-architecture parts. I felt that the "Professional" architect certs for both Azure and GCP were more like associate level exams. I usually score above 85%. There is a udemy course (I forget what it is called, if you want the name I can look it up) I bought for $10 because it was on sale for Black Friday that had like 150 practice questions. Now, some data engineers will help deploy ML models, but I don't find it common, so this felt out of place. There were a few courses that focused on AI and ML deployments. Three weeks ago I started doing the ml skills boost path and maybe finished 60% of it. I used the official learning path on their website. I am doing those certifs just because I was told so in my company, but I guess it should help with career if you're looking for a new job. This is some real in-depth knowledge not only of data engineering overall, but first of all the GCP and some other services as well. . A Professional Machine Learning Engineer builds, evaluates, productionizes, and optimizes AI solutions by using Google Cloud capabilities and knowledge of conventional ML approaches. As per the official documentation, the format of the exam will be Vertex AI-driven from Feb'22 onwards. We would like to show you a description here but the site won’t allow us. I do work specifically with GCP for the last 4 years so I have some foundations (on the AI side), but the exam is heavily heavily focused on data engineering, so that part was quite hard for me. On the other hand, the course is great if you're already a data engineer and you want to learn how to apply your skills on GCP. I read somewhere that the topics in the exam don't align with the topics from the official documentation. But practice questions at the official GCP website seem way harder. AWS's Pro exam was a whole other level; that was 3 hours of brain-melting text, probably because AWS has an Associate architecture exam to begin with, whereas GCP and Azure don't. I think you have what it takes then, just study the GCP products related to ML. I didn’t use the learning path on coursera, just took a bunch of practice questions and filled the knowledge gaps from there. I was honestly using less, but I also work with GCP daily. xusslnwkmpasqmntqtymtnrvyinkalsjojlfajfvzgvronbqbmqnl