Transform your approach to enterprise data governance in AI-driven environments. In today's data-intensive landscape, organizations struggle with metadata chaos, compliance gaps, and manual onboarding bottlenecks that slow AI innovation. This course empowers ML and AI professionals to tackle these critical challenges head-on.
Automate Data Onboarding, Validate, and Govern
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Automate Data Onboarding, Validate, and Govern
This course is part of GenAI Deployment & Governance Specialization
Instructor: John Whitworth
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Systematic metadata analysis maintains data quality and helps control storage costs in large-scale AI environments.
Effective data retention balances regulatory compliance, business requirements, and long-term cost optimization.
Automated data onboarding ensures consistency, quality, and scalability as enterprise data volumes increase.
Proactive data governance prevents downstream issues and accelerates AI development and deployment cycles
Skills you'll gain
- Data Strategy
- Scalability
- Metadata Management
- Data Processing
- Extract, Transform, Load
- Automation
- Data Validation
- Data Quality
- Expense Management
- Data Maintenance
- Data Architecture
- Data Storage
- Compliance Management
- General Data Protection Regulation (GDPR)
- Data Cleansing
- MLOps (Machine Learning Operations)
- Data Governance
- Data Integration
- Data Preprocessing
Details to know
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Recently updated!
December 2025
Taught in English
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This course is part of the GenAI Deployment & Governance Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
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There are 3 modules in this course
Learners will master the systematic analysis of enterprise metadata catalogs to identify redundant datasets, assess data staleness, and implement optimization strategies that reduce storage costs while improving data quality.
What's included
2 videos1 reading2 assignments
Learners will master the systematic evaluation of data retention policies to ensure regulatory compliance while optimizing storage costs through strategic lifecycle management.
What's included
3 videos2 readings2 assignments
Learners will design and implement comprehensive automated data onboarding processes that ensure consistency, quality, and scalability while reducing manual overhead and accelerating AI development cycles.
What's included
2 videos2 readings3 assignments
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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