Live Build Agentic AI Chatbot Using LangGraph - Tutorial 3

Overview

Join us for Tutorial 3 and learn to build an agentic AI chatbot using LangGraph, an innovative open-source framework designed for creating intricate generative AI agent workflows with scalable Language Model (LLM) implementation. Streamed on YouTube, this tutorial is ideal for enthusiasts and professionals eager to leverage AI tools in cutting-edge technology.

Syllabus

• Introduction to Agentic AI Chatbots
Overview of Agentic AI
Importance of creating agentic workflows
• Understanding LangGraph
Introduction to LangGraph framework
Key features and advantages
Setting up the development environment
• Designing AI Workflow
Defining AI chatbot objectives
Structuring agentic workflows with LangGraph
Integrating scalable LLMs within the workflow
• Building the AI Chatbot
Creating nodes and edges in LangGraph
Implementing generative AI logic
Debugging and testing chatbot functionality
• Advanced Features and Customization
Incorporating user feedback loops
Enhancing chatbot capabilities with additional APIs
• Deployment and Scalability
Preparing the chatbot for deployment
Strategies for scaling the LLM implementation
Monitoring and maintaining performance
• Best Practices and Ethical Considerations
Ensuring data privacy and security
Addressing bias in AI chatbot interactions
• Final Project
Building and presenting a complete agentic AI chatbot
Peer review and collaborative feedback
• Course Wrap-up
Recap of key learnings
Resources for further learning and exploration

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Subjects

Computer Science