What is Pydantic in Python? | Complete Guide for AI & Agentic AI Developers By Nidhi Chouhan

Description

Welcome to the Agentic AI Bootcamp! In this video, we dive deep into Pydantic, the powerful Python library for data validation, parsing and structured modelling — and we’ll show why it’s a must-know for building robust AI agents, RAG pipelines and large-language-model systems (not just APIs). You’ll learn: What Pydantic is and how it works How it compares with standard Python dataclasses How to use Pydantic models (BaseModel), type coercion, constraints and nested models Why Pydantic is critical in modern AI/agentic workflows (LLM outputs, tool-calls, structured schemas) Practical examples you can apply right away 📂 Code & Resources GitHub Repository: https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ Email: nidhiyachouhan13@gmail.com Instagram: @codenidhi & @dear_nidhi If you’re ready to build intelligent AI agents and pipelines, hit Subscribe, follow the playlist and join our bootcamp journey! Pydantic, Pydantic Python, Pydantic tutorial, Pydantic for AI, Python data validation, Agentic AI, AI agents, RAG pipelines, LLM applications, Python AI developer, Type hints Python, Pydantic vs dataclass, Python models validation, LangChain Pydantic, Structured output AI #Pydantic #Python #AgenticAI #AIDevelopment #AIAgents #RAG #LLM #PythonTutorial #DataValidation #AITools #AIEngineering