Master the complete LangChain ecosystem for building production-ready LLM applications with agents, chains, and observability.
Register NowBuild complex LLM applications with chains, agents, and memory
Create stateful, multi-actor applications with cyclic workflows
Debug, test, and monitor your LLM applications in production
Build practical LLM applications you can showcase in your portfolio
By the end of this workshop, you will be able to:
Components, chains, and core concepts
Templates, few-shot learning, and output parsers
Conversation memory and state management
Building autonomous agents with custom tools
Stateful, cyclic workflows for complex applications
Coordinating specialized agents for complex tasks
Debugging, testing, and monitoring LLM calls
Optimizing and deploying LangChain applications
Combine LLMs and other tools in sequence to handle complex workflows and multi-step processes.
Build autonomous agents that dynamically decide actions based on LLM reasoning.
Implement short-term and long-term memory to maintain context across interactions.
Create cyclic, stateful workflows that traditional chains can't handle.
Debug, monitor, and improve your LLM applications with tracing and analytics.
Extend agent capabilities with custom tools for web search, APIs, and more.
Learn to build applications ready for real-world deployment, not just prototypes
Master all components of the LangChain platform - not just basic chains
Learn patterns and techniques used in production applications
Handle stateful, cyclic processes with LangGraph
Implement monitoring and debugging with LangSmith
Earn a recognized certificate upon completion
Join our intensive 2-day workshop and master the complete LangChain ecosystem for building sophisticated LLM applications.
Register Now