"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.