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Artificial Intelligence
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Grow with Google

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

  • up to 15 hours
  • Intermediate

This course teaches you how to build, train, and deploy machine learning models using Keras on Google Cloud. Gain a badge upon completion and showcase your cloud skills to advance your career.

  • Machine Learning Model Building
  • Data Pipeline Design
  • Model Deployment
  • Google Cloud Vertex AI

Overview

In this course, you will learn to design and create data input pipelines using TensorFlow, manipulate large datasets with the tf.data library, and use Keras APIs to build both simple and advanced models. You will also train, deploy, and scale machine learning models using Vertex AI, equipping you with the skills to handle large-scale production environments.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    Spanish
    course language
  • Professional Certification
    upon course completion
  • Self-paced
    course format
  • Pre-recorded classes
    delivered online

Who is this course for?

Data Scientists

Professionals looking to enhance their skills in building and deploying machine learning models on Google Cloud.

Software Engineers

Engineers interested in integrating machine learning models into scalable applications using TensorFlow and Keras.

Cloud Practitioners

Individuals aiming to leverage Google Cloud's Vertex AI for large-scale machine learning model deployment.

Unlock the potential of machine learning on Google Cloud by mastering Keras and TensorFlow. Ideal for data scientists, software engineers, and cloud practitioners, this course empowers you to build and deploy scalable models, enhancing your career prospects.

Pre-Requisites

1 / 2

  • Familiarity with basic machine learning concepts

  • Basic knowledge of a programming language, preferably Python

What will you learn?

Introduction to TensorFlow and Keras
Learn the basics of TensorFlow and Keras, and how they are used to build machine learning models.
Data Pipeline Design
Understand how to design and create data input pipelines using TensorFlow for efficient data handling.
Building Models with Keras
Explore the sequential and functional APIs of Keras to create both simple and advanced machine learning models.
Training and Deploying Models
Gain skills in training, deploying, and scaling machine learning models using Google Cloud's Vertex AI.

Upcoming cohorts

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