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Don't Build AI Products Like Traditional Software

Hosted by Aishwarya Naresh Reganti and Kiriti Badam

2,994 students

What you'll learn

AI Products & Non-Determinism

Traditional software behaves predictably. AI doesn’t. Learn how to build around the non-determinism

Understanding the Agency/Control Tradeoff

Most enterprise teams rush into building autonomous agents, and fail. Learn how to think through the tradeoffs first.

CI/CD for AI Products

CI/CD doesn't quite make the cut for AI products, learn about our new CC/CD framework!

Why this topic matters

Most teams building AI treat it like regular software. That’s where things start to break. Traditional CI/CD and product lifecycles don’t hold up. In this session, we’ll do a deep dive into why AI products need a different lifecycle, based on learnings from 50+ implementations across enterprises. This will change how you think about building and shipping

You'll learn from

Aishwarya Naresh Reganti

Founder @ LevelUp Labs | AI Advisor | Ex-AWS

Bio: https://www.linkedin.com/in/areganti/

Kiriti Badam

Applied AI @ OpenAI | AI Advisor | Ex-Google

Bio: https://www.linkedin.com/in/sai-kiriti-badam/

Worked/Taught at

MIT research group
University of Oxford
OpenAI
Amazon Web Services
Google