This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
Machine Learning in the Enterprise
Machine Learning in the Enterprise
This course is part of multiple programs.
Instructor: Google Cloud Training
Access provided by Rhenus Assets & Service GmbH & Co. KG
37,142 already enrolled
Gain insight into a topic and learn the fundamentals.
1,494 reviews
Intermediate level
Some related experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
83%
Most learners liked this course
What you'll learn
Describe data management, governance, and preprocessing options
Identify when to use Vertex AutoML, BigQuery ML, and custom training
Implement Vertex Vizier Hyperparameter Tuning
Explain how to create batch and online predictions, setup model monitoring, and create pipelines using Vertex AI
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 10 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
(87 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
70.68%
- 4 stars
22.48%
- 3 stars
4.41%
- 2 stars
1%
- 1 star
1.40%
Showing 3 of 1494
SG
Reviewed on Sep 11, 2018
A lot of core neural network topics were presented in a productive way and I particularly liked the LAB showing how to write custom estimators.
CK
Reviewed on Feb 14, 2019
Very interesting course! Specifically the last modules with custom estimators and the ability to create estimators straight from Keras!
PP
Reviewed on Aug 16, 2020
The course is difficult. You may need to review some sections because off the amount of information.
