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This 37-minute tutorial explores the concept of Agentic AI and provides practical implementation guidance. Learn about different types of AI agents, the specific characteristics of agentic systems, and whether they can truly self-improve. Discover how to create agentic AI solutions through two approaches: a low-code method using Copilot Studio with generative orchestration and triggers, and a pro-code approach with Semantic Kernel. Examine various semantic kernel agent types, multi-agent architectures, and see example code demonstrating multi-agent interactions. The tutorial also covers important governance considerations for implementing agentic AI systems in production environments.
