AgentIQ Toolkit - Build Composable Agents

Hosted by Amir Feizpour, Shashank Verma, and Chris Alexiuk

Fri, May 16, 2025

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

51 students

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Build Multi-Agent Applications - A Bootcamp
Amir Feizpour, PhD and Abhimanyu Anand
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What you'll learn

What the AI-Q Toolkit is

The importance of composability in Agent workflows

The important part that observability plays

Why this topic matters

NVIDIA Agent Intelligence toolkit is an open-source library for connecting, evaluating, and accelerating teams of AI agents. The Agent Intelligence toolkit simplifies development while optimizing and increasing the accuracy of full-stack, complex agentic AI systems. https://github.com/NVIDIA/AgentIQ

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.

Shashank Verma

Deep Learning Developer Advocate at NVIDIA | Data Scientist

Shashank Verma is a deep learning technical marketing engineer at NVIDIA. He is responsible for developing and presenting developer-focused content on various deep learning frameworks. He obtained his master's in electrical engineering from the University of Wisconsin-Madison, where he focused on computer vision, security aspects in data science, and HPC.

Chris Alexiuk

Deep Learning Developer Advocate at NVIDIA

Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.

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