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LangChain & LlamaIndex: Agent Orchestration
Agent Frameworksmixed
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LangChain & LlamaIndex: Agent Orchestration

Master LangChain and LlamaIndex—the go-to frameworks for building agentic systems with LLMs, memory, and tool use.

InstructorLangChain/LlamaIndex Teams
Duration20+ hours
CostFree

About the Instructor

LangChain/LlamaIndex Teams

LangChain: Created by Harrison Chase. 40K+ GitHub stars, used by 10K+ companies in production. LlamaIndex: Jerry Liu's framework for data indexing. Industry standard for agent orchestration.

First Principles

Agents are loops: think (reason), act (call tools), observe (get feedback), repeat. LangChain and LlamaIndex abstract these patterns so you don't rebuild the same loops for every project.

AI Ecosystem Fit

Layer 5 (Applications) — This is the fastest path to production-ready agents. Both frameworks handle memory, tool calling, and error handling—the hard parts of agentic systems.

Prerequisites

Python fluency Prompt engineering (OpenAI Cookbook) Basic API knowledge
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What Paid Projects This Unlocks

Build production-ready agents: agent loops, tool calling, memory management, multi-step reasoning. Ship agentic applications.

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3 Client Projects You Can Get Paid For

Real businesses have this problem right now. Build it, pitch it, charge for it.

Stack This With → (Unlocks Higher-Paying Projects)

1

Implement ReAct reasoning patterns

2

Build multi-agent systems

3

Deploy with AWS Lambda or custom servers

Why This Matters

These frameworks are industry standard for a reason: they handle the boilerplate of agent building. Using them cuts development time by 70%.

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