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Free Lesson
How to Build Self-Improving AI via Data-Driven Loops
60 min
Jun 25, 2025 2:00 PM
Virtual (Zoom)
In this video
What you'll learn
Design Dynamic Query Planners
Students will learn to build flexible AI query planners that adapt execution strategies in real-time.
Create Composable Search Primitives
Students will understand how to develop modular search components that can be dynamically assembled by AI systems.
Implement Self-Learning Feedback Loops
Students will learn to connect search systems to data feedback for continuous improvement.
Why this topic matters
Understanding self-improving AI systems is crucial as they represent the future of software development. By mastering data-driven learning loops, you'll build systems that get better over time without manual intervention. This skill will differentiate you in the job market and prepare you for the next wave of AI innovation where adaptability trumps static solutions.
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
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Hamish Ogilvy
VP of AI, Algolia
Worked with
