4.4
(10 ratings)
3 Weeks
·Cohort-based Course
Dive into data quality's impact on dependable AI, transform your approach to data management, and learn to build a culture of accountability
4.4
(10 ratings)
3 Weeks
·Cohort-based Course
Dive into data quality's impact on dependable AI, transform your approach to data management, and learn to build a culture of accountability
Previously at
Course overview
"Garbage In, Garbage Out" - one of the most frightening phrases to anyone working on an AI project.
The foundation of any successful AI initiative lies NOT just in the algorithms, but in the quality of underlying data infrastructure. This course introduces you to the transformative power of a scalable, high-quality, well-governed data infrastructure as the backbone of Artificial Intelligence and Machine Learning programs.
You will learn:
💡 Architecting Scalable Data Infrastructure
You'll master designing and implementing a data infrastructure that's robust enough to support sophisticated AI and ML applications. From data lakes to modern data warehouses, understand how to design and manage infrastructures that can facilitate federated data access, analysis, and of course - AI.
💡 Mastering Data Quality for AI
Learn to navigate the challenges of managing data quality specifically tailored for applications that leverage AI/ML. What are the components of ensuring data pipelines are trustworthy, scalable, maintainable, and observable. We'll cover the principles of modern governance, observability, and CI/CD.
💡 Implementing Modern Data Management Practices
Learn the latest in data management strategies that facilitate seamless integration between data producers and consumers within AI ecosystems. How should data producers and data consumers work together to understand dependencies, change management, evolve data contracts, and prevent backward incompatible issues.
💡 Strategies for building data culture in your organization
Discover strategies to instill a culture of data quality excellence within your organization, creating an environment where data integrity is a shared mission.
By the End of This Course:
You'll have a clear blueprint for building and managing data infrastructure that empowers AI initiatives. You'll be able to detect and remedy data quality issues, design scalable and secure data systems, and foster a culture that supports AI-driven innovation.
Spanning 4 weeks with 4 live Zoom classes (recorded for your convenience), this course features sessions led by Chad Sanderson, CEO and co-founder of Gable.ai. Having led data platforms at Convoy, Microsoft, Oracle, and Sephora with a decade's worth of learning into a comprehensive 5-hour course.
Note: This is NOT an engineering course. This course primarily focuses on architecture development, the principles of AI infrastructure, data & AI product management, and organizational design.
01
Data Professionals and Practitioners: Data PMs, engineers, analysts, and scientists seeking to deepen their expertise.
02
Data managers, executives, consultants, and startup owners who aim to enhance their data infrastructure for AI initiatives in their company.
03
This course is NOT for beginners in the data field with less than 6 months of experience and those seeking hands-on engineering skills.
Comprehensive Mastery of AI Data Infrastructure
Students will gain a deep understanding of the essential components of data infrastructure, including popular tools, gotchas, KPIs, conceptualizing data lakes to deploying modern data warehouses
Expertise in Modern Data Management
Explore the forefront of next-generation data management principles, toolchains, and technology stacks.
Drive Organizational Change and Data-Centric Culture
You'll be equipped with strategies to foster a culture within your organization that prioritizes data quality, recognizes its pivotal role in successful AI initiatives, and encourages a mindset shift towards data-driven excellence.
Become an AI-Ready Leader
his course equips you with the knowledge to not only understand but also advocate for and implement AI-ready data practices. You'll emerge as a leader who can bridge the gap between data teams and AI initiatives.
Network of Like-Minded Professionals
Join a community of data and AI professionals from "Data Quality Camp". This group will serve as a valuable resource for collaboration, sharing best practices, and discussing innovative solutions to data infrastructure challenges.
Future-Proof Your Career
You'll be well-prepared for the roles of the future, from AI strategy to data architecture, making you indispensable in the tech landscape
5 interactive live sessions
Lifetime access to course materials
In-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Master AI-Ready Data Infrastructure
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4.4
(10 ratings)
CEO and Co-founder of Gable.ai
A prominent figure in the Data industry, having held key positions at leading companies such as Convoy, Microsoft, Sephora, Subway, and Oracle. He is also the author of the upcoming O'Reilly book, "Data Contracts," which is expected to make significant contributions to the field. Chad's diverse experience and innovative approach to data management have established him as a thought leader and a driving force in technology.
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4 hours per week
Wednesdays and Fridays
1:00 - 3:00 PM PDT
If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students
August 21, 2024
2:OO PM PDT
Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.
Weekly projects
30 mins per week
Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).
Data Products
Discussing data product development, semantic layers, data APIs, and modern data modeling.
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Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Be the first to know about upcoming cohorts