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GCP专业级🤖 AI/ML

Google Cloud Certified - Professional Machine Learning Engineer

验证您在 Google Cloud 上设计、构建和部署机器学习模型与解决方案的能力。GCP AI/ML 领域最权威的专业认证。

Start PracticeBrowse Learning Path
$200
Exam Fee
60
Questions
120m
Exam Duration
70/100
Passing Score
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What this certification covers

This page is structured for quick scanning first: exam format, fit, prep time, and the actual study scope.

You will work with

Vertex AIBigQuery MLAutoMLTensorFlowMLOpsFeature StoreModel MonitoringKubeflow PipelinesCloud StorageDataflowPub/SubExplainable AI

After preparation

  • 获得 Google Cloud 官方专业级 ML 工程师认证
  • 掌握 Vertex AI 全栈 ML 平台的使用
  • 具备端到端 ML 模型的训练、部署和监控能力
  • 能够设计和实施 MLOps 流水线

Exam details

Exam Code
PMLE
Provider
Google Cloud Platform
Duration
120 minutes
Question Count
60 questions
Passing Score
70/100
Validity
2 years
Exam Fee
$200 USD
Question Types
单选题, 多选题, 案例分析题
Languages
English, 日本語, 한국어
Official Page
Open AWS page

Who should take it

Good fit

  • 机器学习工程师和 MLOps 工程师
  • 数据科学家希望提升工程化和产品化能力
  • AI 平台架构师
  • 后端工程师希望转型 ML 方向
  • 希望验证 GCP ML 全栈能力的 IT 专业人员

Before you start

  • 3 年以上 ML 或相关经验（含 1 年以上 GCP 实践）
  • 熟悉 Python 编程和 ML 框架（TensorFlow/PyTorch）
  • 了解机器学习基本概念和算法
  • 建议有模型训练和部署的实际经验

Exam domains

Use this breakdown to decide where to spend study time first instead of reading chapters evenly.

Content Distribution

12%

1. 设计低代码 ML 解决方案

Architect Low-Code ML Solutions

Core Knowledge
AutoMLBigQuery MLVision AINatural Language AI
14%

2. 团队内外协作

Collaborate Within and Across Teams

Core Knowledge
Problem FramingML LifecycleResponsible AIFeasibility Analysis
18%

3. 将原型扩展为 ML 模型

Scale Prototypes into ML Models

Core Knowledge
Vertex AIFeature StoreTensorFlowDistributed Training
19%

4. 模型服务与扩缩

Serve and Scale Models

Core Knowledge
Vertex AI PredictionModel OptimizationTraffic SplittingEdge
21%

5. ML 管道自动化与编排

Automate and Orchestrate ML Pipelines

Core Knowledge
Vertex AI PipelinesKubeflowMLOpsCI/CD
16%

6. ML 解决方案监控

Monitor ML Solutions

Core Knowledge
Model MonitoringExplainable AIData DriftConcept Drift

Study preparation

With hands-on AWS

8-10 weeks

From scratch

12-16 weeks

Daily pace

1-2 hours/day

Learning path preview

8 chapters
1
PMLE 考试概述与备考指南
45 min
2
设计低代码 ML 解决方案
100 min
3
团队内外协作
100 min
4
将原型扩展为 ML 模型
150 min
5
模型服务与扩缩
140 min
6
ML 管道自动化与编排
140 min
+ 2 more chapters inside the full path

Certification comparison

GCP Professional ML EngineerGCP Associate Cloud EngineerGCP Associate Data Practitioner
ProviderGCPGCPGCP
Level专业级助理级助理级
Fee$200$125$200
Duration120 min120 min120 min
Question count605055
Validity2 yrs2 yrs2 yrs

Study tips and common mistakes

💡

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

⚠️

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

FAQ

Frequently Asked Questions

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