To be eligible for the Professional Machine Learning Engineer certification, candidates must have a strong foundation in machine learning concepts, programming languages such as Python, and cloud computing technologies. Additionally, candidates must have experience working with Google Cloud Platform and its various machine learning tools such as TensorFlow, AutoML, and BigQuery. It is recommended that candidates have at least three years of experience in the field of machine learning before attempting this certification.

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Google Professional Machine Learning Engineer Certification Exam has become increasingly popular among individuals who are looking to enhance their career in machine learning engineering. Google Professional Machine Learning Engineer certification is recognized globally and is highly valued by employers. It helps professionals to develop their skills and knowledge in the field of machine learning engineering and provides them with an opportunity to showcase their expertise to potential employers. With the increasing demand for machine learning engineers, obtaining this certification can help individuals to stand out in the competitive job market.

Reference: https://cloud.google.com/certification/guides/machine-learning-engineer

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