Clever Geek Handbook

How to get your new Machine Learning Engineer certification from Google Cloud

Google recently introduced a new certificate that confirms that its holder is able to design, create and release machine learning models using cloud technologies Google Cloud - Google Cloud Professional Machine Learning Engineer. It also assumes that the certified engineer is familiar with all proven machine learning models and methods.







Here's how you can get a new professional certification from Google and how it can benefit your IT career.



The demand for the profession is growing



The shortage of skilled technicians during the pandemic has become a problem for many organizations that are in the process of digital transformation. Finding data scientists with experience in machine learning has been one of the top challenges for CIOs this year, according to Google. Many companies are now playing catch-up with more tech-savvy competitors,



according to a September report by consultancy Robert Half International, which highlights IT industry trends.



“Organizations are now primarily looking for technicians with expertise in artificial intelligence (AI) and machine learning (ML), cloud computing and process automation ,” the report said.



Also, according to the report, on average, AI / ML Professionals will have one of the highest starting salaries next year (not in leadership positions).



What a new certificate gives



In addition to helping improve professional skills, Google Cloud certification is an important criterion for IT recruiters. According to a Global Knowledge report, more than half of tech recruiters surveyed prioritize their formal qualifications.



Other key points from the report:



  • Acquiring a new skill or certification can help increase your income up to $ 12,000 per year.
  • Cloud computing professionals have some of the highest salaries in IT.


Another recent survey from Q1 2020 by Gallup shows that Associate and Professional Google Cloud certifications improve the skills required for a variety of roles in the cloud industry.



Additional benefits:



  • Obtaining a certification opens up access to the Google Cloud community, where different professionals communicate and exchange ideas. This allows for stronger IT ties.
  • In addition, you can receive invitations to global events hosted by Google Cloud.
  • The company's confidence in certified employees is growing, new development opportunities appear, and salaries are increasing.


How to get a certificate



This requires a two-hour exam. Google notes that it is desirable to have at least three years of experience with ML and at least a year in the development and management of solutions based on the Google Cloud Platform (GCP).



Details:



  • Exam duration: 2 hours.
  • Registration fee: 200 $.
  • English language.
  • Format: test.


The exam can be taken remotely. You must first register with your Google Cloud Webassessor account. To prepare for the exam, Google recommends that you read a special guide . You can also view the trial questions and Google Cloud documentation .



Required knowledge and skills



According to experts who have already received the certificate, the Google Cloud Professional Machine Learning Engineer exam pays great attention to ML engineering solutions. The data science part of the exam focuses more on technical aspects than theoretical ones: algorithms, implementation, constraints. Applicants will benefit from knowledge of Python, SQL, TensorFlow 2.x and its ecosystem, as well as how to implement TensorFlow 2 based on GCP.



Candidates should also be well versed in ML model architecture, data pipeline and metric interpretation. Experience in application development, infrastructure management, data design and information security knowledge is required.





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