LangGraph - Agentic AI Framework - Lecture 14

Overview

Join us for Lecture 14 of the LangGraph course and delve into the intricacies of building agentic AI systems. Through step-by-step instructions, you'll learn how to create sophisticated chatbots, implement custom tools, and connect multiple AI agents.

Additionally, this lecture explores practical applications in real-world scenarios, equipping you with the skills to leverage AI technology effectively. Don't miss this opportunity to advance your knowledge in Artificial Intelligence and Computer Science.

Syllabus

• Introduction to LangGraph
Overview of LangGraph Framework
Importance in Agentic AI Systems
• Building Chatbots with LangGraph
Designing Conversations
Utilizing Language Models
Implementing Dialogue Management
• Implementing Custom Tools
Creating and Integrating Tools
Tool Execution and Management
• Connecting Multiple Agents
Multi-Agent Coordination
Communication Protocols
Inter-Agent Data Sharing
• Exploring Real-World Applications
Case Studies and Examples
Industry Use Cases
Future Trends in Agentic AI
• Hands-On Workshop
Guided Lab with LangGraph
Practical Exercises on Building a Simple AI Agent
• Q&A and Discussion
Addressing Common Challenges
Interactive Problem Solving
• Course Summary and Key Takeaways
Recap of Core Concepts
Resources for Continued Learning

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Subjects

Computer Science