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Build AI Agents Right: Lessons from Global Hackathon Winner

Hosted by Shalini Guda Padmanath

87 students

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What you'll learn

Understand what changes when AI can build for you

Learn how agents change requirements, architecture, testing, deployment, governance, and the development lifecycle.

Build Agents with the AI-DLC Framework

Learn a practical lifecycle for designing, building, evaluating, governing, deploying, and improving AI agents.

Learn from a Winning AI Agent

See the decisions, tradeoffs, guardrails, and lessons behind an AI agent that won a global hackathon.

Why this topic matters

Being able to build faster also creates new questions around context, autonomy, security, evaluation, cost, governance, and who is accountable when an agent makes a decision. AI-DLC provides a structured way to think about the full lifecycle of an AI agent, so teams can move fast without creating fragile systems they cannot explain, control, or scale. This session connects agent building and AI governance into one practical lifecycle.

You'll learn from

Shalini Guda Padmanath

AI Agents Global Hackathon Winner, AI-DLC expert, ex - JPMC, Apple, Cisco, eBay

I am an AI product and transformation leader with experience at JPMorgan Chase, Apple, Cisco, and eBay, where I launched AI-enabled platforms and personalization capabilities that generated $200M+ in annual revenue. I led Agile transformation initiatives at Apple and digital transformation programs at JPMorgan Chase. I recently won a global AI Agents hackathon, building and shipping an agentic product using modern AI development practices. My work now focuses on AI-DLC, agent governance, and building AI systems that are scalable, secure, responsible, and commercially effective. I also hold a global AI governance certification focused on implementing AI Management Systems across product, technology, and enterprise strategy.

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