Generative AI
Unlocking Business Potential using Agentic AI with LangChain and LangGraph

This comprehensive course explores LangChain, an open-source framework for building applications using Large Language Models (LLMs). Additionally, it explores LangGraph, a powerful extension of LangChain for constructing stateful, multi-agent applications.

LangChain offers a unique blend of tools and abstractions that enhance the customization, accuracy, and relevancy of responses generated by applications powered by language models. LangGraph complements LangChain by enabling the creation of complex workflows involving cycles, branching, and persistence, which is ideal for multi-agent systems, allowing you to build your own teams of AI agents.

LangGraph enables the creation of intricate workflows involving multiple agents, each with specialized tasks, facilitating better results through focused problem-solving. This course will equip participants with the knowledge to leverage these frameworks for developing sophisticated, stateful applications using LLMs.

Throughout the course, participants will explore the fundamentals of LangChain and LangGraph, learning how to create agents capable of handling intricate tasks with minimal human intervention. The curriculum emphasizes practical applications, guiding learners through the process of designing, implementing, and scaling AI agents tailored to specific business needs. By the end of the course, participants will be proficient in utilizing these tools to automate processes, improve decision-making, and drive innovation within their organizations.