Introduction

1.1: Introduction
1.2: LangChain vs LangGraph
1.3: Environment Setup
1.4: Build Your First LangGraph
1.5: Graphs with Conditional Logic
1.6: Build a Simple Chatbot
1.7: AI Agents With Tools
1.8: AI Agents With Memory
1.9: Tracing With LangSmith
1.10: Human In The Loop - HITL
1.11: Exercise

2.1: Final Quiz

Introduction

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Introduction

In the lecture, we are introduced to the theoretical fundamentals of agentic AI and why LangGraph is a preferred framework for building reliable agents compared to fully autonomous, unpredictable ones.

Contents

1: Langgraph Tutorial and Project

1.1: Introduction

1.2: LangChain vs LangGraph

1.3: Environment Setup

1.4: Build Your First LangGraph

1.5: Graphs with Conditional Logic

1.6: Build a Simple Chatbot

1.7: AI Agents With Tools

1.8: AI Agents With Memory

1.9: Tracing With LangSmith

1.10: Human In The Loop - HITL

1.11: Exercise

2: Final Quiz

2.1: Final Quiz

Introduction

Introduction