Master Google Cloud ML exam with practice questions on MLOps, model scaling, monitoring & low-code AI solutions
Sub Category
- IT Certifications
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Objectives
- Master the real exam format and question style of the Google Cloud Professional Machine Learning Engineer certification.
- Identify the most tested Google Cloud ML services including Vertex AI, BigQuery ML, Dataflow, Pub/Sub, and Kubeflow Pipelines.
- Build the ability to analyze scenario-based questions and choose the best architecture, service, or ML approach under exam pressure.
- Validate your knowledge across all official exam domains
Pre Requisites
- 3+ years industry experience
- 1+ year using Google Cloud
- Python + SQL basics
- ML fundamentals knowledge
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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