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Beyond Simple Agents: Building with LangChain Deep Agents

Hosted by Aishwarya & Arvind and Jess Weng

Mon, Oct 12, 2026

5:30 PM UTC (1 hour)

Virtual (Zoom)

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671 students

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Building a career in AI as a non-coder
Aishwarya Srinivasan
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What you'll learn

Understand the Deep Agent Architecture

Learn what makes a Deep Agent different and how the agent harness enables complex, long-running workflows.

Manage Context for Long-Running Agents

Use memory, skills, summarization, and context offloading to keep agents effective across extended tasks.

Build Agents That Delegate Work

Learn how Deep Agents use subagents and delegation to break complex problems into manageable tasks.

Why this topic matters

Most agents today work well on short, simple tasks but struggle when work becomes longer and more complex. Deep Agents introduce the building blocks needed to go further: planning, memory, context management, delegation, and execution. These patterns help developers build agents that can handle real-world workflows more reliably.

You'll learn from

Aishwarya & Arvind

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.


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.

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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