LangChain & LangGraph for AI Agents
Go beyond single-call LLM apps. Build production-grade agentic systems with LangChain (LCEL composition, tools) and LangGraph (state machines, conditional routing, persistence, human-in-the-loop). Multi-agent patterns, memory architectures, observability via LangSmith, and evaluation. Six end-to-end cases from support agents to multi-agent research systems. Builds on LLMs & GenAI for Practitioners; assumes Python comfort and basic LLM knowledge.
3 weeks
4 modules, 32 lessons
2
~11 hours
100% Free Structured Micro Course
All video lessons, coding exercises, and quizzes are completely free with zero gatekeeping. Start learning right away!
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Course Curriculum
Agent Foundations & LCEL CompositionFREE PREVIEW
Deconstruct autonomous agent architectures versus deterministic workflows. Master LangChain Expression Language (LCEL) composition, operator overloading, and structured tool binding with Pydantic v2 schemas.
LangGraph for Stateful Agents & Human-in-the-LoopFREE PREVIEW
Graduate from linear chains to cyclical state machines. Build robust StateGraphs with TypedDict schemas, conditional edge routers, PostgreSQL checkpointers, and modern functional interrupt() approval workflows.
Production Patterns: Multi-Agent, Memory & ObservabilityFREE PREVIEW
Architect enterprise multi-agent systems with langgraph-supervisor, multi-tier persistent memory tables, real-time LangSmith tracing, and golden dataset trajectory evaluations.
Production Capstone: End-to-End Agent MicroserviceFREE PREVIEW
Deploy a complete production-grade agent microservice: asynchronous FastAPI streaming, PostgreSQL connection pooling, LangSmith telemetry tags, containerization, and automated CI evaluation testing.
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All videos, lessons, and practice exercises are 100% free with zero gatekeeping. Start learning immediately, or enroll with the ₹99 Verified Certificate Pass.
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