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TensorFlow on Google Cloud
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TensorFlow on Google Cloud

This course is part of Google Cloud Machine Learning Engineer Certificate Prep.

Course Cost

Free course

Intermediate

Skill Level

13 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning on Google Cloud Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.4

48,744 Enrolled

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English

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olive-leaves-logo

4.4

48,744 Enrolled

olive-leaves-logo

English

What you'll learn

  • Create TensorFlow and Keras machine learning models

  • Use tf.data library for large dataset manipulation

  • Implement neural networks with Sequential and Functional APIs

  • Deploy ML models at scale with Vertex AI

  • Optimize model performance and accuracy

Skills you'll gain

TensorFlow
Keras
Machine Learning
Neural Networks
Data Pipeline
Cloud Computing
Model Deployment
Python Programming
Deep Learning
Vertex AI

This course includes:

1.85 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This comprehensive course covers designing and building TensorFlow input data pipelines, creating ML models with TensorFlow and Keras, and deploying them at scale with Vertex AI. Students learn to handle large datasets, implement neural networks using Sequential and Functional APIs, and optimize model performance through advanced techniques. The curriculum includes hands-on labs and practical exercises for real-world machine learning applications.

Introduction to the Course

Module 1 · 0 Minutes to complete

Introduction to the TensorFlow Ecosystem

Module 2 · 41 Minutes to complete

Design and Build an Input Data Pipeline

Module 3 · 5 Hours to complete

Building Neural Networks with the TensorFlow and Keras API

Module 4 · 4 Hours to complete

Training at Scale with Vertex AI

Module 5 · 2 Hours to complete

Summary

Module 6 · 40 Minutes to complete

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

TensorFlow on Google Cloud

Intermediate

Skill Level

13 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.