AI Design Document: the Goal is to Fail
Hosted by Valerii Babushkin
What you'll learn
Identify your business goals
You will learn how to set up your business goals before you commit to a time-consuming technical solution
Determine budget and deadlines
You will master the skill of estimating your budget as well as operating within a time constraint
Measure ROI
You would be able to tell if the potential output covers and/or exceeds overall costs
Why this topic matters
It's better to fail fast than to invest months building an AI product no one uses. In this lesson, you'll learn how to write an effective design doc using a framework I honed after creating ML systems for companies like Meta and BP. Using my template, you'll be set up for success from the get-go.
You'll learn from
Valerii Babushkin
Senior Principal at BP, Kaggle Grandmaster
Valerii is an accomplished data science leader with extensive experience in the tech industry. He currently serves as Head of Data, Analytics, and AI at BP, where he is responsible for leading the company's data-driven initiatives. Prior to joining BP, Valerii held key roles at leading tech companies, such as Facebook, Blockchain.com, Alibaba, and X5 Retail Group.
Previously at Meta, Alibaba
Go deeper with a course
The Essentials of Machine Learning System Design
Valerii Babushkin and Arseny Kravchenko
Senior Principal at BP, Kaggle Grandmaster. Staff Machine Learning Engineer, Kaggle Master
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