87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification. Here's what you have to do 1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate 2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam 3) Review the Professional Machine Learning Engineer exam guide 4) Complete Professional Machine Learning Engineer sample questions 5) Register for the Google Cloud certification exam (remotely or at a test center) Applied Learning Project This professional certificate incorporates hands-on labs using Qwiklabs platform. These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.
WP
very good for people who will enter the production stage on machine learning systems
DB
excellent experience. thank you very much coursera and google to give the oppurtunity to get certificate free.
AK
It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations
RL
It's ok. There are example notebooks to understand the code. The pricing part is missing.
AL
The course is good. but i would appreciate if it would give more details and more coding exercises
AM
The whole process of building the Kubeflow pipelines for MLOPs including the configuration part (what does into the Dockerfile, cloud build) has been explained fully.
VP
very good information. Lot of unknown facts in ML are brought up in the course.
PG
It was good experience learning about the deployment process of ML application on GCP.
JC
This is incredible material and incredible technology; I'm a changed person now!
JM
The content related to MLOps on GCP is quite good. If the labs were improved slightly to remove some of the bugs that are commonly posted in the message boards, this would be a 5 star.
MJ
direct to the point practical guidance for dev stage prod sequence
PL
Course content was good. However, many of the Qwiklabs had bugs, resulting in not being able to complete the course with a grade of 100%.
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Course materials are clearly AI generated and agonizingly meander through each topic, frequently repeating themselves and constantly setting up lists and then not addressing each item in the list.
This course is absolutely horrible. This is the second time I’ve wasted hours completing a lab, only for the auto-grader to give me a 0/50 despite the code running perfectly. I am here to learn ML, not to debug your broken grading tool. It is completely demoralizing to put in the work and get zero credit due to technical incompetence. I will never take another course from you again. Avoid this at all costs.
The time allowed for the last Lab Assignment (on Generative AI) was too short at 1 hour. I only got to the last section on multimedia -- generating images Imagen model, did not complete it before time ran out. There were too many tasks to do earlier, with prompt engineering, app generation and photo prompt.
A very good overview on complex topics and how they intertwine
Very much Google marketing, but also instructive! Worth it.
Good course, but currently impossible to complete as of Sept 2025 since one of the labs (Get Started with Vertex AI Studio) is just offline for over a week now, with zero explanation or indication of when it will be available again. So just a broken course, unable to be completed as it stands today - kind of pointless unless you're looking for some ad hoc learning with only being able to reach 99% completion.
labs do not work, very disappointing
课程的总列表里，在不断更新，一开始这们课程分为8个子课程，后来又变成了7个，最后又变成6个？很让人混乱，而且我在学最后一门「ML Pipelines on Google Cloud」的时候，每个单元的最后一个章节(Module Quiz)不能打开或更改学习的期限, 而是一直显示"由于计划已结束，该课程内容已经锁定。", 但问题是我除了每个单元的最后一个章节(Module Quiz)以外都学习完了，但是因为被各自的最后一个章节(Module Quiz)卡主没法完成，导致我无法获得「ML Pipelines on Google Cloud」的证书和 「Preparing for Google Cloud Certification: Machine Learning Engineer 」这门系列课程的完整的整体证书，我是每个月都充值给这门课程学习了将近半年，最终因为Coursera的可成设置问题？无法获得证书，让我觉得很不满！
Well-structured for beginners, it balances theory with hands-on exercises. While it could go deeper, it's an excellent springboard for further learning in AI/ML.
Gave a very easy to understand introduction into all the relevant concepts of Machine Learning alongside hands on, guided lab exercises.
Very good introduction for AI/ML in Google Cloud (requires basic knowledge of GCP).
Worthy of my time. Very informative and helpful to learn how ML solutions on GCP.
It's excellent with a lot of excellent additional reading to deep dive. Thanks
The labs really assist with internalizing the information presented.
I became familiar with Google Cloud Platform: BigQueryML, Vertex AI
guzel kurs ama bana biraz agir geldi bilgi eksikligimden dolayi.
Excelente Conteúdo, parabéns ao Google pela qualidade
This course is a good intro to cloud computing and IA
Great course with outstanding labs and content.
Well-explained and challenging assessments.