Staging environment

Designing Agent Architectures

Hosted by Amir Feizpour and Suhas Pai

Fri, Mar 14, 2025

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

107 students

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Go deeper with a course

Build Multi-Agent Applications - A Bootcamp
Amir Feizpour, PhD and Abhimanyu Anand

What you'll learn

Core principles of designing AI agent systems.

How agents tackle complex, real-world challenges.

Skills to create impactful, future-ready AI solutions.

Why this topic matters

2025 is widely being hailed as the year of agents, with LLM-driven agents seeing rapid adoption across dozens of industries. However, effective architectures and design patterns for agentic systems are still a work-in-progress. In this talk, we will discuss the components of an agentic system and the various means by which they relate to each other, promising architectures and their pros and cons.

You'll learn from

Amir Feizpour

Founder @ Aggregate Intellect

Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District, works with several startups as fractional chief AI officer, and engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs. Amir leads Aggregate Intellect’s R&D via several academic collaborations. 

Suhas Pai

CTO @ Hudson Labs

Suhas is the CTO & Co-founder of Hudson Labs, an NLP startup operating in the financial domain, where he conducts research on LLMs, domain adaptation, text ranking, and more. He was the co-chair of the Privacy WG at BigScience, the chair at TMLS 2022 and TMLS NLP 2022 conferences, and is currently writing a book on Large Language Models.

Learn directly from Amir Feizpour and Suhas Pai

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