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Overview
- You will learn how to design, create, and productionize Machine Learning (ML) models to address business issues using Google Cloud Platform (GCP) and established ML models and methodologies, giving you all the skills you need to become a successful Machine Learning engineer.
- By the conclusion of this course, you’ll be well-prepared to successfully pass the Google Cloud Certified Professional Machine Learning Engineer certification exam and obtain the knowledge to design and build scalable ML solutions for real-world problems.
Description of a Google Professional Machine Learning Engineer
Having the Google Cloud Certified Professional Machine Learning Engineer certification gives you a significant edge when working as an ML engineer on ML models and GCP for major organizations. Throughout the ML development process, you will gain AI abilities and cooperate with other teams to create long-term ML models. You will gain knowledge of modelling architecture, data pipeline interaction, and metric interpretation, as well as how to train, retrain, deploy, schedule, monitor, and enhance ML models.
Having this qualification also permits you to apply for ML engineer jobs with significant firms that utilize GCP, such as Google, Accenture, Wipro, and others.
The GCP professional machine learning engineer exam is a Google professional-level certification examination that certifies your ability to:
- ML problem framing
- Create ML solutions
- Create mechanisms for data preparation and processing.
- Create machine learning models
- Automate and orchestrate machine learning pipelines
- ML solutions must be monitored, optimized, and maintained.
What does it take to become a Google Certified Professional Machine Learning Engineer?
To obtain this certification, you must enroll in and pass the GCP Professional Machine Learning Engineer certification test with a minimum score of 70%. The test has multiple-choice and multiple-select question styles with a time limit of 2 hours. This test is only accessible in English.
Who should enroll in this course?
- Are you a software engineer, machine learning engineer, data engineer, or any other cloud professional interested in becoming an ML engineer and utilizing GCP?
- Are you an aspiring student, an entry-level cloud and ML professional, and do you have a basic understanding of GCP? And do you have the Google-recommended 3+ years of industry experience, as well as 1+ years creating and managing GCP solutions?
- If so, you should enroll in this course right away to gain all of the necessary abilities to become a successful Professional Machine Learning Engineer. This course will help you study for, practice for, and pass the GCP Professional Machine Learning Engineer certification test on the first try.
- Machine Learning on Google Cloud
- Feature Development
- Tensorflow
- Computing in the Cloud
- BigQuery
- Google Cloud Platform
- Interfaces for Application Programming (API)
- ML that is inclusive
- Data Purification
- Programming in Python
- Create an Input Data Pipeline
- Any high-level programming skills is required.
- Linear algebra expertise is required.
- Cloud ML Engineer: If you want to be a successful cloud ML engineer and deliver ML-based solutions on any cloud, including GCP, this GCP Professional Machine Learning Engineer certification is a must-have for you.
- Future Skills: You will get extensive understanding of cloud, machine learning, and artificial intelligence principles in order to show and equip enterprises with scalable and long-term solutions by gaining experience in these revolutionary fields.
- Career Advancement: You will become the most sought-after professional ML engineer and acquire a career post with an average pay increase of 35%.
- Sectoral Exposure: You may use your GCP ML abilities to a variety of career roles and industries, including IT, finance, healthcare, and manufacturing.
EXAM FORMAT AND INFORMATION
Exam Name | Professional Machine Learning Engineer |
Exam Duration | 120 Minutes |
Exam Type | Multiple Choice and Multiple Select |
Exam Fee | $200 |
Eligibility/Pre-Requisite | None |
Exam Languages | English |
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How can you accelerate your path to becoming a Google Cloud Certified Professional Machine Learning Engineer?
Following these tactics enhances your confidence and raises your chances of passing the Google Cloud Certified Professional Machine Learning Engineer certification test much faster
- Examine the Google Cloud Certified Professional Machine Learning Engineer test guide.
- Read the test objectives in their entirety to understand the ideas that you will need to study and prepare for this Google cloud machine learning certification.
- Enroll in our GCP Professional Machine Studying Engineer course to get started learning and preparing right now.
- Watch all of the lectures in the video course to fully comprehend all of the GCP and ML methodologies.
- Once you’ve mastered these principles, practice with the example questions on the official Professional Machine Learning Engineer certification website.
- To put your abilities to the test, Use the practice tests in this course to check your understanding of the GCP Professional Machine Learning Engineer exam structure and questions. Consider these online machine learning engineer practice tests to be practice examinations for assessing and identifying your ML-related flaws and skills.