Yi Meng Chan
Menjadi anggota sejak 2025
Menjadi anggota sejak 2025
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators. This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
Transformasi digital adalah perjalanan penting bagi organisasi modern, dan membangun dasar yang kuat dalam cloud computing merupakan langkah pertama untuk mendorong inovasi yang bermakna. Transformasi Digital dengan Google Cloud memperkenalkan teknologi inti dan framework strategis yang membantu organisasi memodernisasi operasi mereka. Kursus ini membahas konsep cloud dasar, infrastruktur jaringan global, dan model tanggung jawab bersama untuk membantu para pemimpin menentukan jalur mereka ke cloud dengan percaya diri. Sebagai bagian dari alur pembelajaran Cloud Digital Leader, kursus ini bertujuan membantu individu berkembang dalam peran mereka dan membangun masa depan bisnis mereka.
This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.
Kursus ini memperkenalkan kemampuan AI dan machine learning (ML) Google Cloud, dengan fokus pada pengembangan project AI generatif dan prediktif. Kursus ini akan membahas berbagai teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang memberdayakan data scientist, developer AI, dan engineer ML untuk meningkatkan keahlian mereka melalui latihan interaktif.
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.