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Google Professional ML Engineer Exam
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Course Overview
The Google Professional Machine Learning (ML) Engineer Exam is designed for professionals who want to validate their expertise in designing, building, and deploying machine learning models using Google Cloud Platform (GCP). This certification demonstrates your ability to implement ML solutions that align with business objectives while ensuring scalability, security, and compliance.
This course provides comprehensive coverage of the exam topics, including TensorFlow, AutoML, ML pipelines, feature engineering, model deployment, and MLOps best practices. You will gain hands-on experience with Google Cloud AI tools such as Vertex AI, BigQuery ML, and TensorFlow Extended (TFX). Additionally, we offer realistic practice exams to help you prepare effectively for the certification test.
What's included?
What You’ll Learn
✔️ ML Model Design & Data Preparation – Understanding problem framing, feature engineering, and data preprocessing
✔️ Machine Learning Pipelines – Using Vertex AI Pipelines and TensorFlow Extended (TFX) for automation
✔️ Training & Hyperparameter Tuning – Optimizing models with Vertex AI Training, AI Platform, and hyperparameter tuning techniques
✔️ Model Deployment & Serving – Deploying ML models using Vertex AI, TensorFlow Serving, and containerized environments
✔️ MLOps & CI/CD – Implementing continuous integration and deployment pipelines for ML models
✔️ Monitoring & Optimization – Tracking model performance with Explainable AI, model monitoring, and drift detection
✔️ Responsible AI & Ethical Considerations – Understanding fairness, bias mitigation, and privacy-preserving ML techniques
✔️ Security & Compliance – Implementing security best practices for ML workflows on Google Cloud
✔️ BigQuery ML & AutoML – Building ML models without extensive coding using Google’s AutoML and BigQuery ML
✔️ Exam Readiness Strategies – Learning how to tackle exam questions efficiently and avoid common pitfalls
Who Should Take This Course?
✅ Data Scientists & ML Engineers looking to validate their expertise in GCP ML solutions
✅ AI/ML Practitioners who want to deploy scalable models in production
✅ Software Engineers & Cloud Architects seeking to integrate ML into their applications
✅ Anyone preparing for the Google Professional ML Engineer certification
Practice Exams & Mock Tests
This course includes full-length, timed practice exams that simulate the real exam environment. Each question comes with detailed explanations to reinforce key concepts and enhance your problem-solving skills.
Patrick Jones - Course author
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