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Coursera 4.3 (9)
Overview
The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. Machine Learning in the Enterprise course offered by Coursera in partnership with Google Cloud explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
What you will 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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Understanding the ML Enterprise Workflow
- Data in the Enterprise
- Science of Machine Learning and Custom Training
- Vertex Vizier Hyperparameter Tuning
- Prediction and Model Monitoring Using Vertex AI
- Vertex AI Pipelines
- Best Practices for ML Development
- Course Summary
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Computer Sciences Artificial Intelligence Machine Learning View 145 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Some related experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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