Master AI-Ready Data Infrastructure

New

4 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

Microsoft
Convoy
Sephora
Oracle

Course overview

Unlock the Potential of AI with High-Quality Data Infrastructure

"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:


馃挕 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.


馃挕 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.


馃挕 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.


馃挕 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.

Who is this course for

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.

What you鈥檒l get out of this course:

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

This course includes

4 interactive live sessions

Lifetime access to course materials

51 in-depth lessons

Direct access to instructor

3 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven鈥檚 guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Post-Course

    Modules

    • Register to Data Quality Camp

  • Bonus

    Modules

    • Driving Buy-In & Adoption

    • Buy vs. Build

    • Engineering Success

What people are saying

聽聽聽聽聽聽聽聽Data is going to be lifeblood of any organization investing in AI. Educate yourself on what a modern infrastructure looks like or proceed with caution.
Tommy Guy

Tommy Guy

Lead AI Researcher, Microsoft
聽聽聽聽聽聽聽聽Chad is an extremely talented, instructor and speaker. He is not only knowledgable about the material but at guiding students through it.
Mark Freeman

Mark Freeman

Founder of "On the Mark Data" and Tech Lead

Meet your instructor

Chad Sanderson

Chad Sanderson

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.

A pattern of wavy dots
Join an upcoming cohort

Master AI-Ready Data Infrastructure

Cohort 1

$500 USD

Dates

May 25鈥擩une 15, 2024

Payment Deadline

May 24, 2024
|

Bulk purchases

Course schedule

3-4 hours per week
  • Saturdays

    3:00 - 6:00 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

  • May 25, 2022

    3: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

    1 hr per week

    Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You鈥檒l 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

Frequently Asked Questions

What happens if I can鈥檛 make a live session?
I work full-time, what is the expected time commitment?
What鈥檚 the refund policy?
A pattern of wavy dots
Join an upcoming cohort

Master AI-Ready Data Infrastructure

Cohort 1

$500 USD

Dates

May 25鈥擩une 15, 2024

Payment Deadline

May 24, 2024
|

Bulk purchases

$500 USD

4 Weeks