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
Go deeper with a course
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Fri, May 16, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
51 students
Go deeper with a course
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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
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.
Learn directly from Amir Feizpour, Shashank Verma, and Chris Alexiuk
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