Intro to Applied AI
A course designed to reframe how organizations understand and apply artificial intelligence, focusing on how context shapes decisions, workflows, and coordinated systems. The course moves from diagnosis to explanation to architecture, allowing participants to discover the core problem of AI adoption — fragmented context — before learning how to design systems that manage it effectively.
Course overview
Duration: 4 hours
Most AI discussions focus on models, prompts, or tools.
This course takes a different approach.
Participants will learn that:
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AI reorganizes coordination systems, not just tasks
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AI systems only function within supplied context
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Most AI failures are actually context failures
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Organizations rarely manage context explicitly
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Applied AI requires treating context as infrastructure
The course equips participants with a framework for diagnosing AI deployments, analyzing decision systems, and designing context‑aware AI architectures.
