Building Chatbots with LLMs and LangChain

This program focuses on designing and building intelligent chatbots using Large Language Models (LLMs) and modern frameworks such as LangChain. It provides hands-on understanding of how conversational AI systems are developed, integrated, and deployed for real-world applications such as customer support, virtual assistants, and enterprise automation.

Introduction to Conversational AI

• Basics of chatbots and conversational systems

• Evolution from rule-based to LLM-powered bots

• Role of Large Language Models in chatbots

• Real-world chatbot applications

• Overview of conversational AI architecture

Working with LLMs for Chatbots

• Understanding LLM capabilities and limitations

• Context handling in conversational systems

• Response generation techniques

• Memory and conversation flow management

• Improving chatbot accuracy and relevance

Introduction to LangChain Framework

• What is LangChain and why it is used

• Core components of LangChain

• Chains, agents, and memory concepts

• Connecting LLMs with external data

• Building modular AI applications

Designing and Building Chatbots

• Structuring chatbot workflows

• Integrating APIs and knowledge bases

• Creating conversational flows

• Handling user intents and responses

• Testing and improving chatbot performance

Deployment and Real-World Applications

• Deploying chatbots in web and business systems

• Customer support automation use cases

• Internal enterprise assistants

• Performance monitoring and optimization

• Scaling chatbot solutions