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 FutureX
37,299 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
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This course is available as part of
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- 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
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Showing 3 of 1494
TA
Reviewed on Oct 10, 2018
This is an extensive course where you learn some handy techniques like embedding which I believe will be very handy for many applications
MB
Reviewed on Dec 30, 2018
thanks for the great work. There is so much to learn and I appreciate the effort you made to break things down and providing lab while making the hard decisions on what to commit.
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!
