Professional Machine Learning Engineer

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Validate cloud professionals’ understanding in designing, building and productionizing machine-learning models to solve business challenges using Google Cloud technologies, along with their knowledge of proven ML models and techniques.

About the course

Google Machine Learning Engineer Certification enables the candidate to design, build, and implement ML models to resolve core business challenges along with Google Cloud technologies. This course transforms the candidate’s skill set in all aspects of model architecture, data pipeline, and metrics interpretation and makes him/her more proficient. Moreover, on successful completion of this certification, the candidate becomes all the more familiar with app development, infrastructure management, and data analytics.



This course teaches you about core aspects such as;




● Solving complex ML problems
● Creating ML solutions with architecture
● Preparation of data and designing data pipelines
● Building, training, and testing ML models
● ML Pipeline Automation & Orchestration
● ML Solution Monitoring, Optimization, and Maintenance

Eligibility :




No such eligibility criteria are there, any professional interested in the cloud domain can take this certification.




There are no formal prerequisites required for taking this certification course.



Module 1: Frame ML problems
Module 2: Architect ML solutions
Module 3: Prepare and process data
Module 4: Develop ML models
Module 5: Automate & orchestrate ML pipelines
Module 6: Monitor, optimize, and maintain ML solutions

This certification is intended for;



● Engineers who successfully wish to work on google workshop’s powerful & efficient tools
● People preparing for the Machine Learning Engineering Beta examination
● AI Engineers
● ML Engineers
● AI Developers
● System Engineers
● Software Engineers

Salary Insight


The average annual salary of a Professional Machine Learning Engineer is ₹694K, as for an entry-level professional the figures are ₹501K, and for professionals with senior roles, it succeeds the mark of ₹ 880k (approx). Source: Upgrad.



Minimum Salary :- ₹501K


Average Salary :- ₹694K


Maximum Salary :- ₹ 880k

Hiring Companies






Why should you take the professional machine learning engineer exam?

Google recently introduced its new certification Professional Machine Learning Engineer certification with the main objective of increasing a professional’s knowledge base on ML which is going to be the future’s trend. Machine Learning and AI domains are establishing a strong foothold in the market. We all know how much we are going to depend on machines in the future. For developing an innovative and creative mindset this course has several benefits. On successfully passing the exam, the candidate will get a digital badge with a sequential numbered certificate and the optional choice to be listed in GCP Credential Holder Directory.

Exam Information

The exam comprises of Multiple choice and Multiple select, taken remotely or in person at a test center.

- Online-proctored exam from a remote location - Onsite-proctored exam at a testing center

The total duration of the exam is 3 hours.

If you don't pass an exam, you can take it again after 14 days. If you don't pass the second time, you must wait 60 days before you can take it a third time. If you don't pass the third time, you must wait 365 days before taking it again.

Professional Cloud Architect Certification is valid for 2 years from the date certified. You may attempt recertification starting 60 days prior to your certification expiration date.

Eligibility
No such eligibility is there but it is recommended that the candidate has 3+ years of industry experience including 1+ years designing and managing solutions using GCP.
Pre-requisites
There are no formal prerequisites required for taking this certification course.

Mode of Training

Online Live Virtual Classes

Designed to bring the benefits of traditional instructor-led training to the internet, with the convenience of live interactive classes and doubt sessions. 

Online Self-Paced Learning

Self-paced learning allows you to access course materials at your pace, meaning that you focus on things that you find challenging ensuring greater productivity.

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Why choose EduEarth as your training partner?

Customized training as per requirement

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Live virtual classes & self-paced learning

Success ratio close to 99.9% of clearing the exam in the 1st attempt

Partnership with the world's renowned certified bodies

One-on-one doubt resolution

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