Google Professional ML Engineer Certification Exam 2024 new

Google Professional ML Engineer Certification Exam 2024 new, available at $44.99, 5 quizzes, and has 6 subscribers.

You will learn about How to architect low -code ML solutions using AutoML and Vertex AI How to scale prototypes into ML models using Tensorflow, Keras, PyTorch How to monitor ML solutions using Vertex AI Monitoring and Cloud Logging How to apply responsible AI and fairness principles throughout the ML model development process This course is ideal for individuals who are Data Scientists and Machine Learning Engineers or Data Analysts and Data Engineers or AI Practitioners and Researchers or Anyone who want to win Professional Machine Learning Engineer Certification from Google. or Renewal / Recertification Candidates or Students and Enthusiasts It is particularly useful for Data Scientists and Machine Learning Engineers or Data Analysts and Data Engineers or AI Practitioners and Researchers or Anyone who want to win Professional Machine Learning Engineer Certification from Google. or Renewal / Recertification Candidates or Students and Enthusiasts.

Enroll now: Google Professional ML Engineer Certification Exam 2024 new

Summary

Title: Google Professional ML Engineer Certification Exam 2024 new

Price: $44.99

Number of Quizzes: 5

Number of Published Quizzes: 5

Number of Curriculum Items: 5

Number of Published Curriculum Objects: 5

Number of Practice Tests: 5

Number of Published Practice Tests: 5

Original Price: ¥2,600

Quality Status: approved

Status: Live

What You Will Learn

How to architect low -code ML solutions using AutoML and Vertex AI
How to scale prototypes into ML models using Tensorflow, Keras, PyTorch
How to monitor ML solutions using Vertex AI Monitoring and Cloud Logging
How to apply responsible AI and fairness principles throughout the ML model development process

Who Should Attend

Data Scientists and Machine Learning Engineers
Data Analysts and Data Engineers
AI Practitioners and Researchers
Anyone who want to win Professional Machine Learning Engineer Certification from Google.
Renewal / Recertification Candidates
Students and Enthusiasts

Target Audiences

Data Scientists and Machine Learning Engineers
Data Analysts and Data Engineers
AI Practitioners and Researchers
Anyone who want to win Professional Machine Learning Engineer Certification from Google.
Renewal / Recertification Candidates
Students and Enthusiasts

Embark on a Successful Journey to GCP Professional Machine Learning Engineer Certification!

Are you gearing up for the GCP Professional Machine Learning Engineer Certification Exam? Congratulations on taking this significant step towards mastering Google Cloud’s machine learning capabilities! Your success is just around the corner.

Why Choose Our Course?

Access a wealth of high-quality practice questions with detailed explanations.
Experience simulated real exam conditions to enhance your confidence.
Comprehensive coverage of all exam domains with necessary links, explanations, and references for additional study.
Latest and recently updated winner series practice sets for optimal preparation.
Practice each series four times, aiming for a perfect 100% score.

What Sets Us Apart?
Our course is meticulously designed to make you not just confident but also lucky in your exam endeavors. With our guidance, you’ll be well-equipped to tackle the challenges posed by the GCP Professional Machine Learning Engineer Certification Exam.

Your Path to Success:
Consider this course your final destination in the certification journey. Join us for a test ride and experience firsthand the preparation that will set you on the path to becoming a certified Professional Machine Learning Engineer with Google Cloud.

Sample Questions :
You are building an ML model to detect anomalies in real-time sensor data. You will use Pub/Sub to handle incoming requests. You want to store the results for analytics and visualization. How should you configure the pipeline?

A. 1 = Dataflow, 2 = AI Platform, 3 = BigQuery

B. 1 = DataProc, 2 = AutoML, 3 = Cloud Bigtable

C. 1 = BigQuery, 2 = AutoML, 3 = Cloud Functions

D. 1 = BigQuery, 2 = AI Platform, 3 = Cloud Storage

Explanation

The correct option is A.
Dataflow for the pipeline, BigQuery for storing and visualization, Platform AI (now Vertex) to build the model

Course Curriculum

Instructors

George LI
Instructor at Udemy

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