Designing Real-World AI Agents with Purpose

AI agents are evolving fast, far beyond chatbots or simple retrieval systems. Today’s agents can reason, plan, collaborate with other agents, and interact with drive complex workflows. In this interactive workshop, we will walk through agent architectures from RAG pipelines to multi-agent coordination and discuss how these systems are built using Azure and open-source tools. This session blends code walkthroughs with open discussion, helping you identify practical agent use cases and build a roadmap from exploration to implementation.
 
The Why:
AI is moving beyond chatbots to agents that can reason, take action, and collaborate. But building real-world agents isn’t just about calling an LLM, it’s about designing systems that are reliable, scalable, and valuable. This session will help you cut through the hype and understand how to bring intelligent agents into your organization with purpose and clarity.
 
Key Takeaways:

• Learn how multi-agent coordination and reasoning add depth beyond RAG
• Identify where AI Agents can bring value in your organisation today
• Understand the core components of real-world agents 

This session is for...

• AI/ML Engineers and architects
• Product managers and technical decision makers
• Developers and tech enthusiasts curious about building AI-driven systems