Observing & Evaluating Deep Agents Webinar with LangChain
Explore the unique challenges of observing and evaluating Deep Agents in production. Deep Agents represent a shift in how AI systems operate – unlike simple chatbots or basic RAG applications, these agents run for extended periods, execute multiple sub-tasks, and make complex decisions autonomously. In this session, we'll dive into practical approaches for gaining visibility into Deep Agent behavior and measuring their effectiveness using LangSmith. Learn more about Deep Agents here: https://blog.langchain.com/deep-agents/ Try LangSmith: https://smith.langchain.com/

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Flow Engineering with LangChain/LangGraph and CodiumAI

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Building Effective Agents with LangGraph

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Lessons from Deploying LLMs with LangSmith

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CLAUDE CODE ADVANCED FULL COURSE (3 HOURS)

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From Ticket To PR: Agentic Development Workflows For Engineering Teams

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RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

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Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next

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RAG & MCP Fundamentals – A Hands-On Crash Course

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3 ingredients for building reliable enterprise agents - Harrison Chase, LangChain/LangGraph

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Stop Confusing LangChain, LangGraph, and LangSmith | Full Breakdown

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"Software Fundamentals Matter More Than Ever" — Matt Pocock

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Building Better AI Agents: Artificial Intelligence Observability How To

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RAG Crash Course for Beginners

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Why Your AI Agents Keep Forgetting (And How To Fix That) - Vasilije Markovic (Cognee)

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Ship Real Agents: Hands-On Evals for Agentic Applications — Laurie Voss, Arize

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Deep Agents Explained

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Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo!

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System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

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System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

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