(Part of the AI Residency Program – End-to-End AI Project Lifecycle)

Overview

As part of the AI Residency Masterclass Series, this session introduces participants to the exciting world of advanced LangChain.

As part of the AI Residency, this masterclass introduces participants to the next level of AI application building using multi-agent systems. Instead of relying on a single prompt or assistant, you will learn how multiple AI agents can work together with distinct roles, goals, and responsibilities to solve more complex tasks in a structured way.

In this session, participants will explore how CrewAI can be used to design and orchestrate agent-based workflows where one agent can research, another can analyze, and another can summarize or make decisions. The focus will be on understanding the practical value of agent collaboration, task delegation, and workflow automation in real AI applications.

By the end of the session, participants will have a clear understanding of how to build simple multi-agent AI systems, when to use them, and how this approach can help in creating more capable, modular, and scalable AI solutions for business and real-world use cases.

This masterclass is part of the AI Residency.

✅ Join the new AI Residency cohort to build this end-to-end with guided support, project feedback, and a production-ready workflow—from data ingestion → indexing → retrieval → evaluation → deployment.

https://academy.decodingdatascience.com/airesidencyfasttrack