Nowadays, organizations and businesses choose to hire individuals who automate complex processes and tasks, increase productivity, and reduce costs.
If you are interested in starting in this field of data science and automated programs, the Google Machine Learning Engineer certification is the first step.
A complete overview of the Google Machine Learning Engineer Certification
The Google Machine Learning Engineer certification allows you to validate your knowledge and skills as a developer of automated programs to solve business-level problems and challenges with Google Cloud technology and AI techniques.
a. What are the prerequisites of this exam?
It's worth noting that certification requirements may change over time, so it's important to check the official Google Cloud website for the most up-to-date information.
b. What is the structure of this exam?
The exam has a structure of 50-60 multiple-choice questions that will evaluate how you develop AI models, design solutions, frame AI problems, automate and organize pipelines, and how you optimize AI solutions.
c. What does the practice exam version include?
The practice exam includes questions designed to simulate the real exam and thus have a more accurate view of what the exam will be like. These questions are made by IT professionals and are based on the official documentation of the real exam.
d. What does the actual exam version include?
The actual version of the exam includes verified and updated questions every month by IT experts. Google documents are used to manage the actual content of the exam to ensure the trust and updating of the questions.
e. How to register for the certification exam?
Log in to Google Cloud website and access your account.
Search for the Google Machine Learning Engineer certification and click on "Register".
Select the option to take the exam, either online or in-person at a testing center.
Choose a date, time, and testing center (if in-person) and confirm payment for the exam.
Upon completing registration, Kryterion will send you a unique authorization code to take the exams.
f. How much does this certification exam cost?
The Google Machine Learning Engineer certification exam costs $200 plus applicable taxes.
What are the benefits of eating the Google Machine Learning Engineer Certification?
How to get started with Google Machine Learning Engineer Certification?
To start, you must have a solid foundation and understand the Machine Learning concepts correctly. Investigate everything you need to know about Machine Learning and familiarize yourself with those concepts.
Statistics and Linear Algebra
All Machine Learning algorithms are based on these, so it is essential to have knowledge about statistics and linear algebra. If you already have prior knowledge, all you need to do is refresh them and put them into practice.
Having prior or basic knowledge of programming languages used by Google will help you progress faster. It’s recommended to start with Python, as it is easy to understand and is one of the programming languages used by Google.
Courses and Guides
Take online courses and use guides will provide you with a foundation to start with and help you acquire new knowledge or reinforce what you already know.
Great study guides and materials for beginners
To obtain your Google Machine Learning Engineer certification, there are various online resources available, both free and paid, that will help you expand your knowledge, reinforce your skills, and have a solid foundation to take the exam.
1. Best online courses to further your knowledge
Coursera | Google Cloud Certification: Machine Learning Engineer
With this course, you will learn the necessary skills as a machine learning engineer, understand how to design, build, and deploy ML models and solve challenges using Google Cloud technologies.
This course is 7 months long, with 5 hours per week, and you will receive a certification upon completion.
Google | Fundamentals of Google Cloud Big Data and Machine Learning
This course explores the key processes and components of Google Cloud, introducing you to the big data and machine learning products and services.
You will learn through explanatory videos, official documents, exercises, and tests that will evaluate your acquired knowledge.
2. Helpful Practice Exams to test your skills
Udemy | Google Professional Machine Learning Engineer
It provides you with practice questions and answers that are created to closely match the questions on the real exam.
When you purchase this course, you'll have lifetime access to 3 practice exams, consisting of 2 exams with 50 questions each and 1 exam with 15 questions, for a total of 115 questions.
Whizlabs | Google Cloud Certified Professional Machine Learning Engineer
You will gain the necessary skills to become a machine learning engineer, learn the framework for AI problem-solving, AI solution architecture, data preparation and processing, and everything that can be presented in the certification exam.
Whizlabs offers you 52 video conferences of 8 hours of content, 1 free 15-question test, and 2 practice exams of 55 questions.
3. Easy to follow Youtube tutorials to watch in 2023
This video tutorial covers what it means to be a machine learning engineer, the roles and responsibilities, mathematics for machine learning, logistic regression, and a series of questions at the end of the video.
This video tutorial covers what machine learning is, how to become a machine learning engineer, machine learning algorithms, the skills of a machine learning engineer, and all the concepts you need to know about this topic.
Strategies to further improve your skills and knowledge of Google Machine Learning
What is the future outlook for Machine Learning Engineers at Google?
Artificial intelligence and process automation have been one of the major advances in technology in recent years, but there is still much to be done.
It is expected that the evolution of technology will change the market and increase the demand for these services.
As one of the leading technology companies, Google will continue to develop more automation services, so it is expected that the company will offer great job opportunities for Machine Learning engineers, which is promising if you are in this field.
Getting your Google Machine Learning Engineer certification will help you grow professionally and advance faster in this field. It will allow you to apply for high-level jobs.
Keep in mind that organizations are increasingly implementing automated processes, so many job opportunities will arise. With your certification, you will have a higher chance of securing these opportunities.
Yes, certification is worth it if you are interested in entering this field of data science and automated programs.
Learn the basics of Machine Learning, understand statistics and linear algebra, learn programming languages like Python, and learn data processing.
A machine learning engineer at Google is responsible for designing, creating, and researching automated systems that perform specific, accurate, and effective tasks.
The salary varies from $85,000 per year in any company, up to $170,000 per year in large companies such as Google, Facebook or Apple.
The future of Google's machine learning is promising, as many organizations are opting to hire machine learning engineers to facilitate complex tasks, increase productivity, and reduce costs.