Google Professional-Machine-Learning-Engineer Exam Syllabus Topics:
Topic | Details |
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Topic 1 | - Automating and orchestrating ML pipelines: This topic focuses on developing end-to-end ML pipelines, automation of model retraining, and lastly tracking and auditing metadata.
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Topic 2 | - Scaling prototypes into ML models: This topic covers building and training models. It also focuses on opting for suitable hardware for training.
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Topic 3 | - Serving and scaling models: This section deals with Batch and online inference, using frameworks such as XGBoost, and managing features using VertexAI.
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Topic 4 | - Monitoring ML solutions: It identifies risks to ML solutions. Moreover, the topic discusses monitoring, testing, and troubleshooting ML solutions.
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Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
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How to book the Professional Machine Learning Engineer - Google
To apply for the Professional Machine Learning Engineer - Google, You have to follow these steps:
- Step 1: Go to the Google Official Site
- Step 2: Read the instruction carefully
- Step 3: Follow the given steps
- Step 4: Apply for the Professional Machine Learning Engineer Exam
How to Prepare For Professional Machine Learning Engineer - Google
Preparation Guide for Professional Machine Learning Engineer - Google
Introduction for Professional Machine Learning Engineer - Google
A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer is proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation and needs familiarity with application development, infrastructure management, data engineering, and security.
The Professional Machine Learning Engineer exam assesses your ability to:
- Monitor, optimize, and maintain ML solutions
- Automate & orchestrate ML pipelines
- Prepare and process data
- Develop ML models
- Frame ML problems
- Architect ML solutions
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Exam Details
The Google Professional Machine Learning Engineer exam is two hours long. The candidates can expect multiple-choice as well as multiple-select questions in their delivery of the certification test. The exam is currently given to the learners in the English language. To register for and schedule it, you need to pay $200 (plus applicable taxes). While registering for the test, the potential applicants will be offered to select the convenient mode of exam delivery: an online proctored session from a remote location or an in-person proctored session at the nearest testing center.
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