LangGraph for beginners : Agentic Workflows in simple steps

Overview

Are you ready to go beyond simple LLM apps and build powerful, stateful, and agentic workflows using LangGraph?

Syllabus

• Introduction to LangGraph
Overview of LangGraph capabilities
Understanding agentic workflows
Key concepts: states, agents, and LLM integration
• Setting Up Your Environment
Installing LangGraph
Required tools and libraries
Setting up a development environment
• Basics of LangGraph
Understanding nodes and edges
Creating a simple graph
Executing basic workflows
• Designing Stateful Applications
Introduction to state management
Implementing stateful functions in LangGraph
Best practices for state persistence
• Building Agentic Workflows
Defining and managing agents
Communicating between agents
Practical examples of agent workflows
• Integrating LLMs with LangGraph
Connecting language models to workflows
Enhancing workflows with natural language processing
Case studies of LLM integration
• Advanced Workflow Patterns
Conditional workflows
Recursive and looping workflows
Error handling and logging
• Testing and Debugging LangGraph Workflows
Tools for testing LangGraph applications
Debugging techniques and common pitfalls
• Optimization and Best Practices
Performance tuning
Optimizing agent interactions
Security considerations
• Capstone Project
Designing a complete stateful and agentic workflow
Peer review and feedback sessions
Presentation of projects
• Course Wrap-Up
Review of key concepts
Discussion on the future of agentic workflows
Additional resources and next steps for learning

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Taught by

Bharath Thippireddy

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Subjects

Computer Science