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TensorFlow on Google Cloud

Master TensorFlow and Keras for machine learning, from data pipelines to model deployment on Google Cloud Platform.

Master TensorFlow and Keras for machine learning, from data pipelines to model deployment on Google Cloud Platform.

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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TensorFlow on Google Cloud

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

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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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

Fee Structure

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

TensorFlow on Google Cloud

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

5,029

Testimonials

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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.