Beyond Simple Agents: Building with LangChain Deep Agents
Part of Global AI Builder Series: by The Gen Academy
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Hosted by Aishwarya Srinivasan & Arvind Narayan and Jess Weng
Mon, Aug 31, 2026
5:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Mon, Aug 31, 2026
5:30 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Understand the Deep Agent Architecture
Manage Context for Long-Running Agents
Build Agents That Delegate Work
Why this topic matters
You'll learn from
Aishwarya Srinivasan & Arvind Narayan
AI Engineers | Building & Teaching @ The Gen Academy
Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.
Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.
Jess Weng
Education Engineer @ LangChain
Jess Weng is an Education Engineer at LangChain, where she helps developers learn and build with the latest tools and patterns in agentic AI. She creates practical educational content around LangChain’s ecosystem, including Deep Agents, making advanced agent concepts easier to understand and apply.
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