Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

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Brief Introduction

Advance your career as a Cloud ML Engineer

Course Summary

This professional certificate program teaches learners how to design, build, and deploy machine learning models using Google Cloud Platform. Students will gain hands-on experience with advanced ML models, hyperparameter tuning, and production-ready deployments.

Key Learning Points

  • Learn how to build and deploy machine learning models using Google Cloud Platform
  • Gain hands-on experience with advanced ML models and hyperparameter tuning
  • Develop the skills needed to deploy production-ready ML models

Job Positions & Salaries of people who have taken this course might have

    • USA: $112,000 - $178,000
    • India: ₹1,500,000 - ₹2,500,000
    • Spain: €40,000 - €60,000
    • USA: $112,000 - $178,000
    • India: ₹1,500,000 - ₹2,500,000
    • Spain: €40,000 - €60,000

    • USA: $89,000 - $139,000
    • India: ₹600,000 - ₹1,800,000
    • Spain: €25,000 - €45,000
    • USA: $112,000 - $178,000
    • India: ₹1,500,000 - ₹2,500,000
    • Spain: €40,000 - €60,000

    • USA: $89,000 - $139,000
    • India: ₹600,000 - ₹1,800,000
    • Spain: €25,000 - €45,000

    • USA: $98,000 - $151,000
    • India: ₹1,000,000 - ₹2,000,000
    • Spain: €35,000 - €55,000

Related Topics for further study


Learning Outcomes

  • Design and build machine learning models using Google Cloud Platform
  • Tune hyperparameters to optimize model performance
  • Deploy production-ready machine learning models

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of machine learning concepts and programming
  • Familiarity with Python programming language

Course Difficulty Level

Intermediate

Course Format

  • Online self-paced
  • Hands-on projects
  • Peer-graded assignments

Similar Courses

  • IBM AI Engineering Professional Certificate
  • Microsoft Azure AI Engineer Associate

Related Education Paths


Related Books

Description

87% of Google Cloud certified users feel more confident in their cloud skills. This program provides the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Machine Learning Engineer certification.

Here's what you have to do

1) Complete the Preparing for Google Cloud Machine Learning Engineer Professional Certificate

2) Review other recommended resources for the Google Cloud Professional Machine Learning Engineer exam

3) Review the Professional Machine Learning Engineer exam guide

4) Complete Professional Machine Learning Engineer sample questions

5) Register for the Google Cloud certification exam (remotely or at a test center)

Applied Learning Project

This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

Summary of User Reviews

Learn how to prepare for the Google Cloud Machine Learning Engineer Professional Certificate with Coursera. Read reviews from past learners who found this course to be valuable and informative.

Key Aspect Users Liked About This Course

Many users found the hands-on projects to be a valuable aspect of the course.

Pros from User Reviews

  • Hands-on projects provide practical experience
  • Course content is up-to-date and relevant
  • Great preparation for the Google Cloud Machine Learning Engineer Professional Certificate exam

Cons from User Reviews

  • Course can be challenging for beginners
  • Less emphasis on theory and more on practical application
  • Expensive compared to other online courses
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