CourseGenix

Generative AI (Langchain, Langgraph, Langsmith, Pydantic AI)

4 Units16 Lessons

Unit 1

langsmith

Introduction to Langsmith for AI Tracing

Key Features of Langsmith for Evaluation

Real-World Project: Implementing Langsmith in AI Workflow Monitoring

Advanced Langsmith Techniques for AI Optimization

Unit 2

langchain

Basics of Langchain Framework

Building Simple Chains with Langchain

Integrating Prompts and Models in Langchain

Real-World Project: Developing a Chatbot with Langchain

Enhancing Langchain Chains for Complex AI Tasks

Unit 3

pydantic AI

Fundamentals of Pydantic in AI Data Modeling

Advanced Data Schemas with Pydantic for AI

Real-World Project: Applying Pydantic in AI Data Pipelines

Optimizing Pydantic Models for Generative AI Outputs

Unit 4

langgraph

Introduction to Langgraph Workflows

Real-World Project: Building a Multi-Agent System with Langgraph

Advanced Graph Structures in Langgraph

Unit 4•Chapter 3

Advanced Graph Structures in Langgraph

Summary

Summarize transcript in 250 words or less; focus on main topic only; exclude sponsors and unrelated details; avoid introductory phrases.

Concept Check

0/5

In Langgraph, what characterizes a strongly connected graph?

Every vertex is reachable from every other.

All edges are bidirectional.

It has no cycles.

What is the time complexity of Dijkstra's algorithm in Langgraph?

O(E log V)

O((V+E) log V) with binary heap.

O(V^2)

O((V+E) log V) with binary heap.

In Langgraph, when does a graph have an Eulerian path?

Exactly zero or two vertices with odd degree.

No isolated vertices.

All vertices have even degree.

What defines a bipartite graph in Langgraph structures?

All cycles are even length.

Vertices divided into two disjoint sets with no adjacent vertices in the same set.

It is a complete graph.

In Langgraph, which algorithm finds minimum spanning tree?

Kruskal's algorithm.

Dijkstra's algorithm.

Breadth-First Search.

PreviousReal-World Project: Building a Multi-Agent System with Langgraph