Introduction to Agentic Workflows and Multi-Agent Approaches with LLMs

Why should you attend?

The course begins with a thorough introduction to the fundamental concepts of agentic workflows. Participants will learn how these workflows enable AI agents to operate autonomously, manage tasks, and adapt to changing environments, enhancing efficiency and decision-making processes in various applications. The session will also cover the basics of multi-agent systems, exploring how multiple AI agents can collaborate to solve complex problems that are beyond the capabilities of single agents. The second part of the course delves into practical examples and case studies from industry-leading platforms like crewAI, LlamaIndex, and AutoGPT. Through these real-world examples, participants will see how agentic workflows and multi-agent systems are applied to tackle intricate tasks, streamline operations, and achieve remarkable outcomes. These case studies will provide valuable insights into the practical implementation and benefits of these technologies. To ensure a hands-on learning experience, the final hour of the course is dedicated to an interactive session where participants will work on guided projects. Using the discussed platforms, they will implement basic agentic workflows and multi-agent approaches, solidifying their understanding through practical application. The course concludes with a Q&A session, allowing participants to clarify doubts, discuss ideas, and explore further learning resources. By the end of this course, participants will have a solid grasp of agentic workflows and multi-agent systems, and will be equipped with the skills to implement these advanced AI techniques in their own projects, driving innovation and efficiency in their respective fields.