NeuroVed

📺 About Me – Dr. Bipin Patel
Hi, I'm Dr. Bipin Patel — a Generative AI enthusiast and educator with a Ph.D. from IIT Delhi and nearly 8 years of industry experience in AI and machine learning.

I started my online Generative AI classes on March 15th, 2025, with a clear goal: to make advanced AI concepts simple, practical, and enjoyable to learn.

Over the years, I’ve worked on real-world AI projects across various industries and built production-ready GenAI solutions that solve real problems. Through my channel, I aim to share that experience with you.

My teaching style blends deep technical knowledge with hands-on examples, so whether you're just starting out or looking to level up your AI skills, you're in the right place.

🚀 Join me on this journey into the world of GenAI and let’s build the future together!



Lecture 15 -Text Chunking Explained: Character vs Recursive Splitting | RAG Series Tutorial

Lecture 15 -Text Chunking Explained: Character vs Recursive Splitting | RAG Series Tutorial
Lecture 17 - Complete RAG Pipeline: From Document to Vector Store | End-to-End Implementation

Lecture 17 - Complete RAG Pipeline: From Document to Vector Store | End-to-End Implementation
Lecture 16 - Vector Embeddings Explained: How to Choose the Best Embedding Model | RAG Series

Lecture 16 - Vector Embeddings Explained: How to Choose the Best Embedding Model | RAG Series
Lecture 14: Document Loaders & Text Chunking in LangChain | PDF Processing & Splitting Strategies

Lecture 14: Document Loaders & Text Chunking in LangChain | PDF Processing & Splitting Strategies
Lecture 8 - Prompt Engineering Techniques (Zero-shot, One-shot, Few-shot, CoT & ToT) with LangChain

Lecture 8 - Prompt Engineering Techniques (Zero-shot, One-shot, Few-shot, CoT & ToT) with LangChain
Lecture 7 - Prompt Engineering Basics with LangChain | Clear Prompts, Context & Best Practices

Lecture 7 - Prompt Engineering Basics with LangChain | Clear Prompts, Context & Best Practices
Lecture 15 - Error handling and module

Lecture 15 - Error handling and module
Lecture 14- Encapsulation and Abstraction

Lecture 14- Encapsulation and Abstraction
Lecture 12 : Methods in OOPS

Lecture 12 : Methods in OOPS
Lecture 13 - Inheritance and Polymorphism

Lecture 13 - Inheritance and Polymorphism
Lecture 11: Class and Objects basics

Lecture 11: Class and Objects basics
Lecture 10 - Functions and special functions (Lambda, Map, filter, reduce and sorted)

Lecture 10 - Functions and special functions (Lambda, Map, filter, reduce and sorted)
Lecture 9 - While loops and List Comprehension

Lecture 9 - While loops and List Comprehension
Lecture 8 - For loop

Lecture 8 - For loop
Lecture -7 If-else statement

Lecture -7 If-else statement
Lecture 6- Set

Lecture 6- Set
lecture 5: Learn Python Tuples & Dictionaries

lecture 5: Learn Python Tuples & Dictionaries
Lecture 1: Complete Development Setup + Python Fundamentals | Environment + Data Types + Operators

Lecture 1: Complete Development Setup + Python Fundamentals | Environment + Data Types + Operators
Lecture 3 - Python String Manipulation

Lecture 3 - Python String Manipulation
Lecture 4: Python Lists Tutorial

Lecture 4: Python Lists Tutorial
Lecture 6 – LangChain Messages, ChatPromptTemplate & Spend Analyzer Project

Lecture 6 – LangChain Messages, ChatPromptTemplate & Spend Analyzer Project
Lecture 5 – LLM Parameters & Introduction to LangChain

Lecture 5 – LLM Parameters & Introduction to LangChain
Lecture 4 – Understanding LLM Parameters: Context Window, Temperature, and Max Tokens

Lecture 4 – Understanding LLM Parameters: Context Window, Temperature, and Max Tokens
Lecture 3 - Run LLM model in python using Ollama and Hugging face

Lecture 3 - Run LLM model in python using Ollama and Hugging face
Lecture 30: Build Faster with Antigravity - AI Agentic Coding Tool Walkthrough

Lecture 30: Build Faster with Antigravity - AI Agentic Coding Tool Walkthrough
Lecture 8: Master If/Else/Elif Logic & Conditional Programming for AI

Lecture 8: Master If/Else/Elif Logic & Conditional Programming for AI
Lecture 7: Master String Manipulation & Token Calculation for Generative AI

Lecture 7: Master String Manipulation & Token Calculation for Generative AI
Lecture 6: F-Strings, System & User Messages Explained | Build Your First LLM App (Hindi)

Lecture 6: F-Strings, System & User Messages Explained | Build Your First LLM App (Hindi)
Лекция 28: Протокол контекста модели (MCP) — Подключение LLM-моделей к инструментам Playwright и ...

Лекция 28: Протокол контекста модели (MCP) — Подключение LLM-моделей к инструментам Playwright и ...