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LLM Application Frameworks: LangChain & LangGraph: sections and modules

T4

LLM Application Frameworks: LangChain & LangGraph

LangChain models, prompts, parsers and LCEL; LangGraph state, routing, persistence, interrupts and streaming.

Requirement: Required
For whom: All technical paths
Notebooks: 47
Before this track: Prompt & Context Engineering
By: Sourav Banerjee

Objectives

Build a chain in LCEL and a stateful graph in LangGraph
Add persistence, human approval and streaming to a graph

The later parts build every pipeline and agent in LangChain and LangGraph.

T4.1
LangChain Core: Models, Prompts & Parsers
9 lessons
9 lessons
T4.2
LCEL, Runnables & Chains
7 lessons
7 lessons
T4.3
LangGraph Core: Graphs, State & Control Flow
7 lessons
7 lessons
T4.4
LangGraph Runtime: Persistence, HITL & Streaming
8 lessons
8 lessons

Exercise: Turn a chain into a LangGraph graph with a checkpoint and a human approval step
Done when: You can answer every module's Interview questions without notes