Lilly Tech Systems
Google Cloud Professional ML Engineer
Pass the Google Cloud Professional Machine Learning Engineer certification on your first attempt. This course covers all six exam domains with practice questions, hands-on GCP service walkthroughs, and proven exam strategies. Over 60 practice questions with detailed explanations included.
Your Learning Path
Follow these lessons in order to build comprehensive exam readiness, or jump to specific domains you need to strengthen.
1. Exam Overview & Strategy
Exam format (50–60 questions, 120 min), six domains, study plan, registration cost ($200), prerequisites, and how scoring works.
2. Architecting ML Solutions
Translate business problems to ML, choose between AutoML and custom training, Vertex AI architecture, and practice questions.
3. Data Preparation & Processing
BigQuery, Dataflow, Dataproc, feature engineering with Feature Store, TFX pipelines, and practice questions.
4. Model Development
TensorFlow, Keras, Vertex AI Training, hyperparameter tuning with Vizier, distributed training strategies, and practice questions.
5. ML Pipeline Automation
Vertex Pipelines, Kubeflow Pipelines, CI/CD for ML, experiment tracking with Vertex AI Experiments, and practice questions.
6. Serving & Monitoring
Vertex AI endpoints, batch prediction, model monitoring, data drift detection, A/B testing, and practice questions.
7. Practice Exam
30 exam-style multiple-choice questions covering all six domains with detailed answer explanations and domain mapping.
8. Exam Day Tips & Resources
Quick-reference review sheet, exam day strategy, time management, FAQ accordion, and links to official Google resources.
What You'll Learn
By the end of this course, you will be able to:
Master All Six Exam Domains
Deep understanding of ML problem framing, data processing, model development, pipeline automation, model serving, and monitoring on Google Cloud.
Answer Exam Questions Confidently
Practice with 60+ exam-style questions and learn how to eliminate wrong answers, manage time, and handle scenario-based questions.
Use GCP ML Services Effectively
Know when to use Vertex AI, BigQuery ML, AutoML, Dataflow, Dataproc, and other GCP services for real-world ML workflows.
Pass on Your First Attempt
Structured study plan, exam-day strategy, and comprehensive review materials designed to maximize your passing probability.