Google Cloud
Machine Learning on Google Cloud Specialization
Google Cloud

Machine Learning on Google Cloud Specialization

Learn machine learning with Google Cloud. Real-world experimentation with end-to-end ML

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Get in-depth knowledge of a subject
4.6

(8,542 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.6

(8,542 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use Vertex AI AutoML and BigQuery ML to build, train, and deploy ML models

  • Implement machine learning models using Keras and TensorFlow 2.x

  • Implement machine learning in the enterprise best practices

  • Describe how to perform exploratory data analysis and improve data quality

Details to know

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Taught in English
Recently updated!

March 2025

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Google Cloud
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Specialization - 4 course series

Introduction to AI and Machine Learning on Google Cloud

Course 19 hours4.7 (197 ratings)

What you'll learn

  • Recognize the data-to-AI technologies and tools offered by Google Cloud.

  • Use generative AI capabilities in applications.

  • Choose between different options to develop an AI project on Google Cloud.

  • Build ML models end-to-end by using Vertex AI.

Build, Train and Deploy ML Models with Keras on Google Cloud

Course 213 hours4.4 (2,779 ratings)

What you'll learn

  • Design and build a TensorFlow input data pipeline.

  • Use the tf.data library to manipulate data in large datasets.

  • Use the Keras Sequential and Functional APIs for simple and advanced model creation.

  • Train, deploy, and productionalize ML models at scale with Vertex AI.

Skills you'll gain

Category: Tensorflow
Category: Python Programming
Category: Machine Learning
Category: keras
Category: Build Input Data Pipeline

Feature Engineering

Course 38 hours4.5 (1,773 ratings)

What you'll learn

  • Describe Vertex AI Feature Store and compare the key required aspects of a good feature.

  • Perform feature engineering using BigQuery ML, Keras, and TensorFlow.

  • Discuss how to preprocess and explore features with Dataflow and Dataprep.

  • Use tf.Transform.

Machine Learning in the Enterprise

Course 419 hours4.6 (1,476 ratings)

What you'll learn

  • Describe data management, governance, and preprocessing options

  • Identify when to use Vertex AutoML, BigQuery ML, and custom training

  • Implement Vertex Vizier Hyperparameter Tuning

  • Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI

Skills you'll gain

Category: Tensorflow
Category: Machine Learning
Category: Cloud Computing

Instructor

Google Cloud Training
Google Cloud
1,751 Courses3,127,570 learners

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Google Cloud

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