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Explore the fundamentals and practical implementation of AI agents and multi-agent systems using Azure AI in this comprehensive conference talk. Learn why agentic AI is becoming a major trend in development and discover popular frameworks for building intelligent agents. Understand the benefits of multi-agent architectures and how multiple agents can collaborate to solve complex problems more effectively than single-agent systems. Follow along as the speaker demonstrates live coding examples using the open-source Semantic Kernel framework to build and test AI agents in real-time. Gain practical knowledge about getting started with AI agent development, including hands-on experience with Python code examples, though equivalent implementations are available for .NET and Java developers. By the end of this session, develop a clear understanding of when and why to implement agentic AI solutions, which frameworks to choose for your projects, and how to architect systems where multiple agents work together collaboratively.
