Professional Machine Learning Enginer


Note:	Exam is changing from Feb 22, 2022. See new exam guide.
Length:	2 hours
Questions:	~60 (not a fixed number, but typically around 60+ questions)
Official Link:	https://cloud.google.com/certification/guides/machine-learning-engineer
Length:	2 hours. (Note: there seems to be 60 questions in the PMLE.)
Registration fee:	$200 (plus tax where applicable)
Exam format:	Multiple choice and multiple select, taken in person at a test center or online.

Published	Title/Link	Author
2024/05	Pass Google Cloud Machine Learning Exam, with This How-To Human Learning Guide	Jaroslav Pantsjoha
2022/12	How to clear GCP PMLE Exam?	Shadab Hussain
2022/03	How I passed the Google Cloud PMLEexam (Vertex AI)	Joshua Tan
2022/01	How to prepare for the GCP PMLEexam	Gabriel Cassimiro
2021/11	Get recognized as an ML Expert with the Google PMLE Certificate!	Elyes Manai
2021/08	A Comprehensive Study Guide for the GCP ML Engineer Certification	Jeffrey Luppes
2021/08	How to study for (and pass) Google's PMLE certification	Rolf Siegel
2021/07	Getting Data Science / ML Certified across Azure, AWS and GCP	Sanjana Sahayaraj
2021/03	How I Passed the GCP Professional ML Engineer Certification	Arthur Mello
2021/03	Notes from my GCP PMLE Exam	Sathish VJ
2021/01	How I cracked the GCP PMLE certification in 8 days!	Hasan Rafiq
2020/12	GCP ML Certification Prep	Hil Liao
2020/12	Google Cloud Professional ML Engineer Certification – My Study Track	Kevin Slifer
2020/11	GC PMLE: The definitive guide	Oleh Lokshyn
2020/11	Tips to nail the Google Cloud Certified Machine Learning Engineer Professional exam	Konrad Clapa
2020/10	What I learned studying for the GCP ML Exam	Francisco Quintana
2020/10	Cloud Professional ML Engineer	virenlr
2020/08	My notes from GCP ML Engineer exam	João Serra
2020/08	GCP ML Engineer Certification: Post Exam Impressions	Carlos Timoteo
2020/08	GCP ML Engineer Certification Preparation Guide	Dmitri and Steven
2020/08	20 days to GC PMLE	Han Qi
2020/07	My take on Professional ML (Beta) Exam	Parth M.

Published	Title/Link	Author
	Official Practice Test

Published	Title/Link	Author
2020	Machine Learning Design Patterns	Valliappa Lakshmanan, Sara Robinson, Michael Munn

Title/Link	Instructor	Notes
Vertex AI - AI Simplified	Priyanka Vergadia
AI Adventures	Google Cloud
ROC and AUC - Clearly Explained	Josh Starmer	ML Playlist

Site	Title/Link	Instructor
	Machine Learning Crash Course	Google
	Machine Learning Guides	Google
	Coursera: Google Cloud Platform Big Data and Machine Learning Fundamentals	Google
	Coursera: Building Batch Data Pipelines on GCP	Google
	Coursera: Building Resilient Streaming Analytics Systems on GCP	Google
	Coursera: Smart Analytics, Machine Learning, and AI on GCP	Google
	Coursera: How Google does Machine Learning	Google
	Coursera: Launching into Machine Learning	Google
	Coursera: Intro to TensorFlow	Google
	Coursera: Feature Engineering	Google
	Coursera: Art and Science of Machine Learning	Google
	Coursera: End-to-End Machine Learning with TensorFlow on GCP	Google
	Coursera: Production Machine Learning Systems	Google
	Coursera: Image Understanding with TensorFlow on GCP	Google
	Coursera: Sequence Models for Time Series and Natural Language Processing	Google
	Coursera: Recommendation Systems with TensorFlow on GCP	Google
	Coursera: https://app.pluralsight.com/library/courses/building-end-to-end-machine-learning-workflows-kubeflow/table-of-contents	Google
	TensorFlow: TFX on Cloud AI Platform Pipelines	Google
	ML Pipelines on Google Cloud	Google

Title/Link
Build and Deploy Machine Learning Solutions on Vertex AI
Advanced ML: ML Infrastructure
Data Science on Google Cloud: Machine Learning
Google Cloud Solutions II: Data and Machine Learning
Perform Foundational Data, ML, and AI Tasks in Google Cloud
BigQuery for Machine Learning

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