Building AI Agents with LangChain & LangGraph

Name: Building AI Agents with LangChain & LangGraph
Availability: InStock

Build production-grade autonomous AI agents. Master LangChain chains, LCEL, memory, tool-equipped agents, and stateful multi-agent workflows with LangGraph. Go from single LLM calls to self-directing systems.

8 hours

0 enrolled

Updated Apr 2026

Course Content ↓

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By CloudaQube Team

What You'll Learn

Build LangChain chains with LCEL (LangChain Expression Language)

Add memory and conversation history to agents

Equip agents with tools: web search, code execution, APIs

Build stateful multi-step agents with LangGraph

Implement human-in-the-loop checkpoints

Debug and trace agent execution with LangSmith

Deploy agents as production APIs

Prerequisites

Python intermediate (classes, decorators, async)
Familiarity with calling an LLM API
Basic understanding of what an LLM is

About the Instructor

CloudaQube Team

Expert instructor with hands-on industry experience in Ai Ml.

Included in paid plans

LevelIntermediate

Duration8 hours

Lessons—

Students0

This course includes

Hands-on practice labs
AI-powered explanations
Progress tracking
Certificate of completion
Lifetime access

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