RiseUpp Logo
Educator Logo

Google Cloud Machine Learning Engineer Certificate Prep

Master Google Cloud ML engineering with hands-on training. Prepare for certification and learn to build, deploy, and scale ML models in production.

Master Google Cloud ML engineering with hands-on training. Prepare for certification and learn to build, deploy, and scale ML models in production.

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 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.

4.5

(2,202 ratings)

52,195 already enrolled

English

Powered by

Provider Logo
Google Cloud Machine Learning Engineer Certificate Prep

This course includes

65 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

12,573

What you'll learn

  • Learn to design and implement production-ready ML systems

  • Master Google Cloud's ML tools and services

  • Develop skills for the Professional ML Engineer certification

  • Build and deploy scalable ML models using Vertex AI

  • Implement MLOps practices for continuous delivery

  • Gain hands-on experience with TensorFlow and BigQuery ML

Skills you'll gain

TensorFlow
BigQuery
Machine Learning
Data Cleansing
Cloud Computing
Python
Keras
MLOps
Vertex AI
Google Cloud Platform

This course includes:

80 Hours PreRecorded video

Hands-on labs using Qwiklabs platform

Access on Mobile, Desktop, Tablet

FullTime access

Shareable certificate

Get a Completion Certificate

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

Created by

Provided by

Certificate

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.

icon-0icon-1icon-2icon-3icon-4

There are 6 courses in this program

Securing, Monitoring, and Scaling Kubernetes Clusters

Course 1 · 12 Hours to complete · 3 modules

MBA in Consultancy Management

Course 2 · 2 Years to complete

M.Tech. Design Engineering - BITS Pilani

Course 3 · 2 Years to complete

Security Management and Governance

Course 4 · 20 Hours to complete · 4 modules

Cybercrime

Course 5 · 25 Hours to complete · 4 modules

Introduction to Digital Transformation: Change & Disruption

Course 6 · 19 Hours to complete · 5 modules

Fee Structure

Payment options

Financial Aid

Google Cloud Machine Learning Engineer Certificate Prep

This course includes

65 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

12,573

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.

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.