Google Cloud
Machine Learning on Google Cloud Specialization
98,213 enrolled
Google Cloud

Machine Learning on Google Cloud Specialization

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

Included with Coursera Plus

Get in-depth knowledge of a subject

(8,570 reviews)

Intermediate level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(8,570 reviews)

Intermediate level

Recommended experience

Flexible schedule
1 month at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • 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

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

March 2025

20 practice exercises

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

Specialization - 4 course series

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.

Skills you'll gain

Category: Google Cloud Platform
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Generative AI
Category: Machine Learning
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Cloud Solutions
Category: Cloud Platforms
Category: Application Programming Interface (API)
Category: Cloud Infrastructure

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: Keras (Neural Network Library)
Category: Tensorflow
Category: Google Cloud Platform
Category: Artificial Neural Networks
Category: Deep Learning
Category: Data Pipelines
Category: Data Transformation
Category: Scalability
Category: Applied Machine Learning
Category: Python Programming
Category: Application Deployment
Category: Machine Learning
Category: Data Processing
Category: MLOps (Machine Learning Operations)

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: Feature Engineering
Category: Keras (Neural Network Library)
Category: Data Transformation
Category: Dataflow
Category: Data Pipelines
Category: Tensorflow
Category: Google Cloud Platform
Category: Machine Learning
Category: Data Processing
Category: MLOps (Machine Learning Operations)

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: Google Cloud Platform
Category: Data Pipelines
Category: MLOps (Machine Learning Operations)
Category: Workflow Management
Category: Machine Learning
Category: Tensorflow
Category: Data Management
Category: Data Transformation
Category: Applied Machine Learning
Category: Continuous Monitoring
Category: Data Governance
Category: Machine Learning Methods
Category: Predictive Modeling
Category: Managed Services
Category: Cloud Computing

Earn a career certificate

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Instructor

Google Cloud Training
Google Cloud
1,914 Courses3,543,081 learners

Offered by

Google Cloud

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