Building Adaptive AI Systems: A Hands-on Workshop on DSA and System Design

Are you ready to rethink how you approach Data Structures and System Design?

“Building Adaptive AI Systems” is a one-of-a-kind, hands-on 2-day workshop that blends classical Computer Science with modern AI-inspired thinking. Whether you're a student trying to master DSA, a developer building real-world systems, or a startup innovator pushing boundaries—this workshop is designed for you.

In this workshop, you won’t just learn theory. You’ll experience how AI logic can guide the selection, optimization, and adaptation of data structures and system components in real time. We’ll explore topics like predictive indexing, dynamic system architectures, and automated decision logic — all backed by guided code walkthroughs and real-world examples.

Expect deep dives, hands-on coding, and interactive sessions that move beyond conventional tutorials. You'll walk away with practical insights, new perspectives, and the ability to build smarter, more adaptive systems—powered by foundational CS principles and AI logic.

Info: Goal: Understand how AI thinks in terms of structures and logic


Introduction to AI's structural thinking


Case Studies: Learned Indexes, Predictive Caching


Reinforcement-based sorting and search techniques


Hands-on: Build a neural index and compare with a B-Tree


Interactive Activity: Use a real-time AI logic to choose the right data structure

Info: Goal: Design systems that dynamically adapt to conditions


Understand adaptive systems: Auto-scaling, self-healing, intent-routing


Demonstration: System that changes architecture based on input/load


Build Session: Generate dynamic blueprints using prompts


Panel Discussion: “Will AI replace core CS fundamentals?”

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