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ML Pipelines on Google Cloud

Master production ML pipeline development using TensorFlow Extended (TFX) and other Google Cloud tools for automated training and deployment.

Master production ML pipeline development using TensorFlow Extended (TFX) and other Google Cloud tools for automated training and deployment.

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 Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate 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.

3.2

(82 ratings)

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ML Pipelines on Google Cloud

This course includes

4 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Implement TFX pipeline components and orchestration

  • Develop CI/CD workflows for ML pipelines

  • Manage ML metadata and model versioning

  • Create automated training pipelines with Cloud Composer

  • Deploy multi-framework ML solutions

Skills you'll gain

TensorFlow Extended
Pipeline Orchestration
CI/CD
MLflow
Cloud Composer
KubeFlow
Apache Beam
ML Metadata
Multi-Framework ML

This course includes:

2.4 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 9 modules in this course

This advanced course covers ML pipeline development and management using Google Cloud tools. Students learn about TensorFlow Extended (TFX) for production ML, including pipeline components, orchestration, and metadata management. The curriculum also covers multi-framework support, continuous training implementation, and MLflow for complete lifecycle management.

Welcome to ML Pipelines on Google Cloud

Module 1 · 7 Minutes to complete

Introduction to TFX Pipelines

Module 2 · 59 Minutes to complete

Pipeline orchestration with TFX

Module 3 · 35 Minutes to complete

Custom components and CI/CD for TFX pipelines

Module 4 · 38 Minutes to complete

ML Metadata with TFX

Module 5 · 24 Minutes to complete

Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines

Module 6 · 18 Minutes to complete

Continuous Training with Cloud Composer

Module 7 · 36 Minutes to complete

ML Pipelines with MLflow

Module 8 · 49 Minutes to complete

Summary

Module 9 · 1 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.

ML Pipelines on Google Cloud

This course includes

4 Hours

Of Self-paced video lessons

Advanced Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

3.2 course rating

82 ratings

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.