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Langchain, LangGraph, LangSmith
Take your LLM applications from simple prompts to autonomous systems with Ameya’s LangChain, LangGraph, and LangSmith training. This deep-dive developer course focuses on the industry-standard orchestration layer. You will learn to use LangChain for basic pipelining, LangGraph for building complex, cyclical agents with persistent state, and LangSmith for the critical “last mile” of development: debugging, testing, and monitoring. This is the definitive path for engineers looking to build reliable, production-ready AI agents that don’t just talk — but act.
Our Training Services — The Developer’s Toolkit
An end-to-end hands-on curriculum covering the full LangChain stack — from LCEL composition to LangGraph agentic workflows and LangSmith observability.
Master the declarative way to compose chains, providing built-in support for streaming, async, and parallel execution while simplifying the transition from prototype to production-ready code.
Move beyond linear chains. Learn to build cyclic graphs that allow agents to loop, self-correct, and maintain memory across complex tasks — enabling the creation of autonomous systems that can handle open-ended objectives.
Deep dive into “Checkpointers” and “Threads” within LangGraph to build chatbots that never lose their place in a conversation — allowing for robust multi-session interactions and error recovery.
Learn to use the full observability suite to trace every step of your chain, identify bottlenecks, and run automated A/B tests on prompts — to maintain total visibility over your application’s logic and performance.
Learn how to give your agents “hands” by connecting them to external APIs, databases, and local filesystems — to create specialized AI workers capable of interacting with your existing software ecosystem.
Transition your code from a Python script to a scalable, production-ready REST API — leveraging built-in support for streaming and standard web protocols.
Our Training Process — From Scripting to Orchestration
A structured learning path that takes you from basic RAG pipelines to multi-agent systems — with production-grade testing baked in from day one.
We start by building basic RAG pipelines in LangChain and quickly evolve into building multi-agent systems in LangGraph — demonstrating how to scale complexity without sacrificing system maintainability.
Interactive workshops on designing “StateGraphs” — mapping out exactly how your AI should think and when it should stop — to ensure your agents follow consistent, predictable, and safe reasoning paths.
A dedicated session using LangSmith to “open the hood” of your agent, seeing exactly where a prompt failed or where a tool call went wrong — drastically reducing the time spent on manual troubleshooting.
Learning advanced techniques for managing long-term and short-term memory without blowing your token budget — using specialized windowing and summarization strategies.
Building sophisticated retrieval systems where the agent decides how to search and when it has found enough information — resulting in higher accuracy and more contextually relevant AI responses.
Using LangSmith to set up “Unit Tests” for your AI, ensuring new updates don’t break old features — by establishing a continuous integration pipeline for your prompts and chains.
Why Choose Ameya for LangChain Stack?
Engineering the Agentic Future — your strategic partner for production-grade LLM orchestration and observability.
Most courses stop at simple chains. We focus on LangGraph, teaching you how to build professional agents that can handle loops and complex logic — required for actual enterprise-grade automation.
We are one of the few training providers that put LangSmith at the center of the curriculum. We believe an agent you can’t trace is an agent you can’t trust — and we give you the tools to prove your AI’s reliability.
While we use LangChain, we teach the underlying patterns (like ReAct or Plan-and-Execute) so you can apply these advanced orchestration principles to any future AI framework.
Our instructors are active AI engineers who contribute to open-source projects and build agentic workflows for enterprise clients daily — bringing you the latest “day-zero” insights from the field.
We teach you the hard truths of AI development — handling rate limits, retries, and fallback models — ensuring your applications remain stable under real-world usage conditions.
Join an exclusive network of LangChain developers to share custom tools, state-management patterns, and deployment strategies — long after your formal training is complete.
Master the art of AI orchestration and observability with Ameya’s expert-led LangChain suite training.
