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

Taught in English

92,741 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(8,467 reviews)

Intermediate level

Recommended experience

2 months 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

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Recently updated!

April 2024

Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(8,467 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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 - 5 course series

How Google does Machine Learning

Course 111 hours4.6 (7,225 ratings)

What you'll learn

  • Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code

  • Describe best practices for implementing machine learning on Google Cloud

  • Leverage Google Cloud tools and environment to do ML

  • Articulate Responsible AI best practices

Launching into Machine Learning

Course 214 hours4.6 (4,275 ratings)

What you'll learn

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

  • Build and train AutoML Models using Vertex AI and BigQuery ML

  • Optimize and evaluate models using loss functions and performance metrics

  • Create repeatable and scalable training, evaluation, and test datasets

Skills you'll gain

Category: Inclusive ML
Category: Bigquery
Category: Application Programming Interfaces (API)
Category: Machine Learning
Category: Google Cloud Platform

TensorFlow on Google Cloud

Course 313 hours4.4 (2,752 ratings)

What you'll learn

  • Create TensorFlow and Keras machine learning models and describe their key components.

  • Use the tf.data library to manipulate data and 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: Machine Learning
Category: Cloud Computing

Feature Engineering

Course 48 hours4.5 (1,755 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.

Skills you'll gain

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

Machine Learning in the Enterprise

Course 518 hours4.6 (1,452 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: Bigquery
Category: Machine Learning
Category: Data Cleansing

Instructor

Google Cloud Training
Google Cloud
1,392 Courses2,562,901 learners

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Google Cloud

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