LangChain Mastery: Build Intelligent AI Systems

Introduction to LangChain and LLM Applications

Python and AI Foundations for LangChain

Natural Language Processing and LLM Fundamentals

Large Language Models and Generative AI

Setting Up LangChain Development Environment

Understanding LangChain Architecture

Prompt Templates and Prompt Engineering

Chains and Sequential Workflows

LLM Integration and API Management

Memory Systems and Conversational AI

Document Loaders and Data Ingestion

Text Splitting and Document Chunking

Embeddings and Vector Representations

Vector Databases and Semantic Search

Retrieval-Augmented Generation (RAG)

Agents and Tool Calling Systems

LangChain Tools and External Integrations

LangGraph and AI Agent Orchestration

Streamlit and LangChain Web Applications

FastAPI and Backend AI Development

LLMOps and Production AI Workflows

Evaluation and Testing for AI Systems

Deployment and Scaling of LangChain Applications

Security and Ethical AI Development

Multimodal AI and Advanced Generative Systems

Real-World Business and Enterprise AI Applications

Project — AI Chatbot and Conversational Assistant

Project — RAG Document Analysis Platform

Project — AI Agent and Tool Automation System

Project — Enterprise AI Knowledge Management System

Project — Multimodal Generative AI Dashboard

Expert-Level LangChain and AI Platform Engineering