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    Professional Machine Learning Engineer Study Guide

    01

    Professional Machine Learning Engineer Study Guide

    2 hours Advanced universal_currency_alt No cost

    This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

    When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

    Badge for Professional Machine Learning Engineer Study Guide
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    Course Info
    Objectives
    • List the domains covered on the Professional Machine Learning Engineer (PMLE) certification exam.
    • Identify gaps in your knowledge and skills for each domain.
    • Identify resources and learning assets available to develop your knowledge and skills.
    • Create a study plan to prepare for the PMLE certification exam.
    Prerequisites

    Working proficiency with Python on topics covered in the Google Crash Course on Python.

    Prior experience with foundational machine learning concepts and deep learning models, as well as familiarity with model evaluation, bias-variance tradeoff, overfitting, and regularization techniques are recommended.

    Audience
    This course is intended for individuals with a strong technical background and hands-on experience in machine learning (ML) who want to demonstrate their expertise in designing, building, and deploying machine learning solutions on Google Cloud.
    Available languages
    English
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
    What badges can I earn?
    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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