What You Need to Know Before
You Start
Starts 8 June 2025 05:59
Ends 8 June 2025
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Overview
Dive into building an agentic AI chatbot with LangGraph, an open-source framework for creating complex generative AI agent workflows with scalable LLM implementation.
Syllabus
- Introduction to Agentic AI Chatbots
- Understanding LangGraph
- Designing AI Workflow
- Building the AI Chatbot
- Advanced Features and Customization
- Deployment and Scalability
- Best Practices and Ethical Considerations
- Final Project
- Course Wrap-up
Overview of Agentic AI
Importance of creating agentic workflows
Introduction to LangGraph framework
Key features and advantages
Setting up the development environment
Defining AI chatbot objectives
Structuring agentic workflows with LangGraph
Integrating scalable LLMs within the workflow
Creating nodes and edges in LangGraph
Implementing generative AI logic
Debugging and testing chatbot functionality
Incorporating user feedback loops
Enhancing chatbot capabilities with additional APIs
Preparing the chatbot for deployment
Strategies for scaling the LLM implementation
Monitoring and maintaining performance
Ensuring data privacy and security
Addressing bias in AI chatbot interactions
Building and presenting a complete agentic AI chatbot
Peer review and collaborative feedback
Recap of key learnings
Resources for further learning and exploration
Subjects
Computer Science
