Feb 24
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Understanding Deep Agents: The Future of AI Autonomy Explore how Deep Agents take AI beyond simple tool-calling into persistent, stateful intelligence. This session breaks down the core pillars of Deep Agents and how LangGraph enables scalable, production-ready autonomy. Key Takeaways: • Why traditional agents fail on long, complex workflows • Core pillars: planning, sub-agents, memory/state, and virtual file systems • How LangGraph delivers human oversight, scaling, and error recovery • Practical patterns for building reliable, multi-step AI systems • Real-world use cases from research to decision support #DeepAgents #AgenticAI #LangGraph #AIAutonomy #MultiAgentSystems #AI ------- Table of Contents: 0:38 – Welcome & Opening Remarks 2:38 – Speaker Introduction 4:22 – Introduction to Deep Agents 6:50 – Limitations of Traditional Agents 8:18 – What Are Deep Agents? 10:36 – The Four Pillars of Deep Agents 31:16 – Deep Agents Live Demo 50:45 – Audience Q&A 1:01:35 – Agentic AI Bootcamp Overview 1:03:35 – Closing & Final Notes --------- 👉 Learn more about Data Science Dojo: https://datasciencedojo.com/ 👉 Explore video tutorials: https://datasciencedojo.com/tutorials/ 👉 See community feedback and success stories: https://datasciencedojo.com/data-scie... At Data Science Dojo, we believe data science is for everyone. Our in-person and virtual training programs have helped 10,000+ professionals from 2,500+ companies — including Microsoft, Apple, and Meta — apply AI responsibly and effectively. 🔗 Subscribe to our newsletter for more AI tutorials and events: https://datasciencedojo.com/newsletter/