What You Need to Know Before
You Start
Starts 7 June 2025 12:13
Ends 7 June 2025
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3 hours 9 minutes
Optional upgrade avallable
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Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
Are you ready to go beyond simple LLM apps and build powerful, stateful, and agentic workflows using LangGraph?
Syllabus
- Introduction to LangGraph
- Setting Up Your Environment
- Basics of LangGraph
- Designing Stateful Applications
- Building Agentic Workflows
- Integrating LLMs with LangGraph
- Advanced Workflow Patterns
- Testing and Debugging LangGraph Workflows
- Optimization and Best Practices
- Capstone Project
- Course Wrap-Up
Overview of LangGraph capabilities
Understanding agentic workflows
Key concepts: states, agents, and LLM integration
Installing LangGraph
Required tools and libraries
Setting up a development environment
Understanding nodes and edges
Creating a simple graph
Executing basic workflows
Introduction to state management
Implementing stateful functions in LangGraph
Best practices for state persistence
Defining and managing agents
Communicating between agents
Practical examples of agent workflows
Connecting language models to workflows
Enhancing workflows with natural language processing
Case studies of LLM integration
Conditional workflows
Recursive and looping workflows
Error handling and logging
Tools for testing LangGraph applications
Debugging techniques and common pitfalls
Performance tuning
Optimizing agent interactions
Security considerations
Designing a complete stateful and agentic workflow
Peer review and feedback sessions
Presentation of projects
Review of key concepts
Discussion on the future of agentic workflows
Additional resources and next steps for learning
Taught by
Bharath Thippireddy
Subjects
Computer Science