• Duration

    30 Minutes

  • Level

    Intermediate

  • Course Type

    Short Course

What you'll Learn

  • Master the fundamentals of multi-agent communication for efficient task-solving through agent collaboration.

  • Gain hands-on experience using LangGraph to build and manage collaborative multi-agent systems.

  • Develop skills in building research & data visualization using multi-agent systems

About the Instructor

Dipanjan Sarkar - Head of Community and Principal AI Scientist, Analytics Vidhya

Dipanjan Sarkar is a distinguished Lead Data Scientist, Published Author, and Consultant, having a decade of extensive expertise in Machine Learning, Deep Learning, Generative AI, Computer Vision, and Natural Language Processing. His leadership spans Fortune 100 enterprises to startups, crafting end-to-end data products and pioneering Generative AI upskilling programs. A seasoned mentor, Dipanjan advises a diverse clientele, from novices to C-suite executives and PhDs, across Advanced Analytics, Product Development, and Artificial Intelligence.
About the Instructor

Who Should Enroll?

  • AI practitioners, software developers, and system architects aiming to deepen their understanding of multi-agent systems.

  • Learners enthusiastic about entering the world of collaborative AI systems and mastering LangGraph to lead innovative projects in technology.

FAQ

  • What is LangGraph?

    LangGraph is a framework designed to simplify the creation of collaborative multi-agent systems by leveraging graph-based structures for efficient communication and coordination.

  • What are the key components of LangGraph?

    LangGraph is built around nodes (agents), edges (communication), and tasks. Nodes represent agents with specific roles, edges define interactions, and tasks output.

  • What is LangGraph, and how is it different from LangChain?

    LangGraph is an advanced framework built on LangChain, focusing on structured workflows, graph-based chaining, and improved modularity for building complex LLM-driven systems.

  • Will I get a certificate of completion?

    Yes, a certificate will be awarded upon successful completion of the course and assessments.

  • Does the course include hands-on projects?

    Yes, the course includes practical, hands-on projects where you’ll build a a collaborative muti-agent system with LangGraph.