Machine Learning Engineer Learning Path

Google Cloud Machine Learning Engineer Learning Path

PremiumNewProductEducationMachine LearningGoogle Cloud

Google Cloud's Machine Learning Engineer Learning Path is a curated set of online courses and labs designed to equip learners with practical hands-on experience in Google Cloud technologies. It covers key skills in designing, building, deploying, optimizing, running, and maintaining machine learning systems. Upon completion of this learning path, learners can further pursue the Google Cloud Machine Learning Engineer certification, laying a solid foundation for career advancement.

Google Cloud Platform Basic Function Operations
Introduction to AI and Machine Learning Services
Data Quality Improvement and Exploratory Data Analysis
Building
Training
and Deploying Machine Learning Models Using Vertex AI AutoML
TensorFlow and Keras Model Design
Improving Machine Learning Model Accuracy
Scaling Machine Learning Model Usage
Feature Engineering

Suitable for individuals or teams looking to build and deploy machine learning solutions on the Google Cloud platform
especially data scientists
AI developers
and machine learning engineers.

Build a machine learning model without code using Vertex AI AutoML
Design and optimize machine learning models using TensorFlow and Keras
Apply machine learning workflows to solve real-world problems in an enterprise environment
Utilize MLOps tools and practices to deploy and manage production-level machine learning systems

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