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CertificationsGCPMLE
GCP专业级AI/ML

Google Cloud Certified - Machine Learning Engineer

验证您设计、构建和生产化机器学习模型的能力。GCP 机器学习工程师认证(旧版)。

Try the first chapter freePractice questions
60
Official exam questions
120 min
Exam duration
70/100
Passing score
JR ACADEMY / CERTIFICATION PREP

JR Academy practice bank

172practice questions
Build your foundation8 learning chapters
Practice with purposeFocused practice · answer explanations
Test your readinessMock exams · review

172 practice questions available

OverviewLearning pathFAQReviews
01

Understand the certification

认证概述

Google Cloud Certified - Machine Learning Engineer 验证您使用 Google Cloud 技术设计、构建和生产化 ML 模型的能力,涵盖数据处理、模型开发、部署和 MLOps 全流程。

考试领域

  • ML Problem Framing(ML 问题定义)
  • ML Solution Architecture(ML 解决方案架构)
  • Data Preparation and Processing(数据准备与处理)
  • ML Model Development(ML 模型开发)
  • ML Pipeline Automation & Orchestration(ML 流水线自动化)
  • ML Solution Monitoring, Optimization(ML 解决方案监控与优化)

适合人群

  • 机器学习工程师和数据科学家
  • AI/ML 解决方案架构师
  • 希望验证 GCP ML 能力的工程师
  • 从事 MLOps 的 DevOps 工程师

Exam at a glance

Exam code
MLE
Provider
GCP
Format
Single choice / Multiple select
Language
English / 日本語
Validity
2 years
Exam fee
$200
Official certification page

Skills in focus

Vertex AIBigQuery MLTensorFlowAutoMLAI PlatformDataflowCloud StoragePub/SubKubeflowMLOps

Learning outcomes

  • 获得 Google Cloud 官方机器学习工程师认证
  • 掌握 GCP ML 解决方案的设计与实现
  • 具备端到端 ML 流水线构建能力
  • 能够优化和监控生产环境中的 ML 模型
  • 为更高级别的 AI/ML 认证打下基础

Who this is for

  • 机器学习工程师和数据科学家
  • AI/ML 解决方案架构师
  • 希望验证 GCP ML 能力的工程师
  • 从事 MLOps 的 DevOps 工程师
  • 希望转型 ML 方向的软件工程师

Before you start

  • 3 年以上 ML 或相关行业经验(含 1 年以上 GCP 实践)
  • 熟悉机器学习基础概念和常用算法
  • 了解数据处理、特征工程和模型评估
  • 具备 Python 编程能力
02

Your learning path

8 chapters

01MLE 考试概述与备考指南Free02ML 问题定义与架构设计Free03数据准备与处理150 min04ML 模型开发150 min05ML 流水线自动化与编排140 min06ML 解决方案监控与优化120 min
View the full learning path

Plan your preparation

Learning hours
55h
With relevant experience
8-10 weeks
Starting from scratch
12-16 weeks
Daily study
1-2h

Included in your preparation

  • 8 个系统化学习章节,覆盖 ML 全流程
  • 170+ 精选练习题,每题附详细解析
  • 仿真模拟考试(50 题/120 分钟)
  • 错题本 + 智能复习,薄弱环节针对性突破
  • 学习进度可视化追踪
  • 同步 Google Cloud 官方最新考纲

Preparation tips

  • 60 题 120 分钟,平均每题 2 分钟,合理分配时间
  • 及格分 70/100,不确定的题先标记跳过,回头再做
  • 排除法非常有用 — 先排掉明显错误的选项,剩下的再分析
  • 多选题会告诉你选几个,仔细看题目要求

Common mistakes

  • 没有读完所有选项就选答案 — 题目经常有"最佳"答案和"正确但不最佳"的干扰项
  • 备考只刷题不理解原理 — 考试场景题需要理解底层概念
  • 忽略时间管理 — 在难题上卡太久,导致后面简单题没时间做
03

Before you register

How difficult is the GCP Machine Learning Engineer exam?

MLE is a GCP Professional-level certification with a relatively high difficulty level. The exam covers the full ML lifecycle, from problem framing to model deployment and monitoring. It requires a deep understanding of GCP ML services and machine learning theory. It is recommended to allow 3-6 months of systematic preparation.

What is the difference between MLE and PMLE?

MLE is the older version of the Machine Learning Engineer certification, while PMLE (Professional Machine Learning Engineer) is the newer version. The updated exam guide covers newer services such as Vertex AI more extensively. Choose the version that best matches your current preparation.

How long is the MLE certification valid?

The GCP Machine Learning Engineer certification is valid for 2 years. You must recertify before expiration to maintain your active status.

What question types are on the MLE exam?

The exam contains 50-60 questions, primarily multiple-choice (single and multi-select). The exam duration is 120 minutes, the passing score is approximately 70%, and the exam fee is $200 USD.

04

Learner experiences

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05

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60 questions · 120 min

GCP Professional Cloud Database Engineer

GCP · 专业级

50 questions · 120 min

Start with the first chapter.

2 free chapters · Full preparation from $39

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