Grow with Google

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.

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

Learn the basics of TensorFlow and Keras, and how they are used to build machine learning models.

Introduction to TensorFlow and Keras

Understand how to design and create data input pipelines using TensorFlow for efficient data handling.

Data Pipeline Design

Explore the sequential and functional APIs of Keras to create both simple and advanced machine learning models.

Building Models with Keras

Gain skills in training, deploying, and scaling machine learning models using Google Cloud's Vertex AI.

Training and Deploying Models

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.

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

Data Scientists

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

Software Engineers

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

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

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