Name: Deep Agents with LangGraph: From Planning to Persistent Reasoning
Start: 2025-12-10T15:00:00-05:00
End: 2025-12-10T16:00:00-05:00

## Understanding Deep Agents: The Future of AI Autonomy

The next evolution of AI agents is here. Deep Agents move beyond simple tool-calling [LLMs](https://datasciencedojo.com/blog/how-do-llms-work/) into powerful, stateful systems that can reason over time, collaborate across sub-tasks, and deliver reliable results in real applications. This session will break down what Deep Agents are, why they matter, and how LangGraph makes them practical to build today.
We’ll explore the limitations of traditional agents that lose context, fail on long-running tasks, or collapse without human intervention. Then we’ll introduce the four pillars of Deep Agents: planning, sub-agents, memory and state, and a virtual file system that enables durable workflows.
A live walkthrough will show how LangGraph helps developers orchestrate scalable, production-ready Deep Agents with human oversight, observability, and debugging built in. You’ll learn how to structure persistent reasoning, delegate tasks effectively, and maintain state across complex workflows.

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### What We Will Cover:

• Why traditional agents fall short on multi-step, long-running tasks
• The architecture of Deep Agents and how each pillar supports persistent reasoning
• How LangGraph enables stateful agents with feedback loops, scaling, and error recovery
• Building a Deep Agent step-by-step — planning, delegation, and memory management
• Real-world use cases from research automation to decision support systems
• Key considerations and safety mechanisms when deploying Deep Agents in production

***

### Hands-On Insights:

Through examples and Q&A, participants will learn how to start building Deep Agents in their own environments using LangGraph. You’ll leave with the mental model, tools, and practical patterns to evolve your agent systems from simple demos into durable, intelligent applications.

Alishba Arshad

Data Science Dojo – New York

Data Science Dojo Community

Technology

Hadoop

Business Analytics

Data Visualization

Natural Language Processing

Business Intelligence

Cloud Computing

Big Data

Artificial Intelligence

Machine Learning

Data Analytics

Predictive Analytics

Data Mining

Predictive Modeling

Data Science

Mike Dillion

Bill Olik

Blair

Arham Akheel

Bruno G. Tavares

Joseph Shraibman

Garrett Lang

Deep Agents with LangGraph: From Planning to Persistent Reasoning

Deep Learning

Online event

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Data Science Dojo – New York

Deep Agents with LangGraph: From Planning to Persistent Reasoning

Data Science Dojo – New York

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