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Agent Foundations & LCEL Composition

Deconstruct autonomous agent architectures versus deterministic workflows. Master LangChain Expression Language (LCEL) composition, operator overloading, and structured tool binding with Pydantic v2 schemas.

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164 min total
9 Lessons
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Module Content

What an AI Agent Actually Is

A practical definition. Strip away the hype: agents are LLMs that decide what to do next. FIND_VIDEO: search 'what is an AI agent definition explained' — recommended channel: LangChain / AI Engineer / Harrison Chase. Aim for 10 min or under.

10 minVideo
Start

Quiz: Agents vs Chains vs Workflows

The terminology is muddy. Here's the distinction that actually matters when you're building.

7 minTutorial
Start

Modern LangChain Architecture & Tool-Calling Agents

LangChain has evolved fast. Here's what's current, what's deprecated, and where to put your effort. FIND_VIDEO: search 'langchain 2026 LCEL latest version' — recommended channel: LangChain / Sam Witteveen / James Briggs. Aim for 11 min or under.

21 minVideo
Start

Quiz: The LangChain Ecosystem

LangChain isn't just one library. The ecosystem has four pieces; you'll use all of them.

7 minTutorial
Start

Building Reactive Chains with LCEL

The pipe-based composition pattern. Once you see it, every LangChain example becomes readable. FIND_VIDEO: search 'LCEL LangChain Expression Language tutorial' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under.

22 minVideo
Start

Quiz: LCEL Patterns & Operator Composition

Five LCEL patterns cover 90% of chain-building. Master them; everything else is variations.

7 minTutorial
Start

Tools, Toolkits, and Structured Function Binding

The @tool decorator and bind_tools API. The foundation for agentic behavior in LangChain. FIND_VIDEO: search 'langchain tools tool calling tutorial' — recommended channel: LangChain / Sam Witteveen / Greg Kamradt. Aim for 11 min or under.

19 minVideo
Start

Quiz: Tool Design & Schema Validation

Tools turn LLMs into action-takers. Design them well — the LLM decides which to call based on the descriptions.

8 minTutorial
Start

Case 1 — Autonomous Financial & SQL Tool-Calling Agent

You have a working LCEL chain. It needs loops, retries, and human review. Refactor to LangGraph properly.

63 minSubmission
Start
Agent Foundations & LCEL Composition | LangChain & LangGraph for AI Agents | Topfolio