Building Agentic and Multi-Agent Systems with LangGraph

Overview

Syllabus

• Introduction to Agentic Systems
Overview of Agentic and Multi-Agent Systems
Key Concepts: RAG systems, reasoning cycles, and workflows
• Introduction to LangChain and LangGraph
Fundamentals of LangChain
Basics of LangGraph
Integration of LangChain and LangGraph
• Building RAG Systems
Understanding Retrieval-Augmented Generation (RAG)
Designing RAG Architectures with LangGraph
Case Studies and Practical Examples
• Implementing Reasoning Cycles
Principles of Reasoning in AI Systems
Developing Reasoning Mechanisms using LangGraph
Debugging and Optimizing Reasoning Cycles
• Creating Multi-Agent Workflows
Designing Workflows for Multi-Agent Systems
Coordination and Communication between Agents
Handling Complex Interactions and Dependencies
• Advanced Topics in Multi-Agent Systems
Scalability and Efficiency in Multi-Agent Systems
Security and Ethical Considerations
Emerging Trends and Technologies in Multi-Agent AI
• Hands-On Projects
Project 1: Building a Simple RAG System
Project 2: Developing a Reasoning Cycle
Project 3: Implementing a Complex Multi-Agent Workflow
• Conclusion and Future Directions
Summary of Key Concepts
Opportunities for Further Learning and Development

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Subjects

Computer Science