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Master Agentic AI: Deep Dive into Event-Driven LlamaIndex Workflows

Agenda

Simplify Complex Tasks with Agentic AI Workflows

Are you ready to unlock the full potential of LLMs by harnessing the power of agent-based collaboration? Join us for an insightful webinar as we explore how to build scalable, event-driven AI solutions using LlamaIndex. From theory to hands-on practice, this session will guide you through Agentic AI workflows that simplify complex problems and bring real-world AI applications to life.

Experience a live demo showcasing ReAct agents in action, seamlessly integrating reasoning and actions to interact with external tools, process data, and make intelligent real-time decisions. Gain practical insights on how to adapt these workflows to solve challenges in industries like finance, healthcare, and technology.

What You’ll Learn 

  • Discover how agent-based workflows can solve complex problems through collaboration. 
  • Build a multi-step workflow using LlamaIndex, from data intake to intelligent decision-making. 
  • Incorporate real-world data into your workflow to enhance AI responsiveness and intelligence. 
  • See how ReAct agents powered by Agentic AI, which combine reasoning and actions to interact with external tools, process data and make real-time decisions in the live demonstration. 
Izma Aziz

Data Scientist at Data Science Dojo

Izma Aziz is a Data Scientist at Data Science Dojo who specializes in developing and deploying AI applications powered by Large Language Models (LLMs). She has hands-on experience implementing production-ready Retrieval-Augmented Generation (RAG) systems and multi-agent workflows, delivering scalable and efficient solutions. Her work focuses on bridging advanced AI technologies with real-world applications to drive innovation and impact.