Google Cloud's Professional Machine Learning Engineer certification validates advanced ML skills for experienced professionals. It opens doors to ML engineer, data scientist, and AI specialist roles—perfect if you're ready to lead ML projects and advance your tech career.
Certification Requirements
Topics covered by Professional Machine Learning Engineer
The certification validates that you have the core skills necessary for a career in machine learning engineering on Google Cloud Platform.
Machine Learning Engineers design, build, and deploy AI systems that learn from data. They bridge data science and software engineering to create scalable machine learning solutions for real-world applications.
Estimated Salary: $130,000 – $200,000
Data Scientists analyze complex datasets to uncover patterns, build predictive models, and generate actionable insights that drive strategic business decisions across industries like healthcare, finance, and technology.
Estimated Salary: $95,000 – $165,000
Cloud AI Engineers design, build, and deploy artificial intelligence solutions on cloud platforms, combining machine learning expertise with cloud infrastructure knowledge to create scalable, intelligent applications for businesses.
Estimated Salary: $120,000 – $180,000
Yes, this Google Cloud certification significantly boosts career prospects in ML engineering, data science, and cloud architecture roles, often leading to higher salaries and better job opportunities in tech companies.
The Google Cloud Professional Machine Learning Engineer certification exam costs $200. This is a one-time fee that covers the 2-hour proctored exam, which can be taken remotely or at a testing center.
The Google Cloud Professional Machine Learning Engineer exam is considered moderately challenging, requiring solid hands-on experience with ML workflows, Google Cloud services, and practical implementation skills. Most candidates need 3-6 months of focused preparation and real-world practice to pass successfully.
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