The Kellogg School of Management advocates for hands-on experience as the most effective method for understanding agentic AI, suggesting that practical building projects provide superior learning outcomes compared to theoretical study alone. The institution emphasizes that practitioners can develop deeper insights into autonomous AI systems by directly constructing and experimenting with agent-based applications.
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