A hands-on laboratory for managers and entrepreneurs. Transition from AI theory to agentic utility by building your own tools.
Course Content
The Logic of Intelligence
Understanding the Engine Before You Drive
In this module, we move behind the "Chat" interface to examine the actual mechanics of Large Language Models (LLMs). To build effective agentic tools, a manager must understand the constraints, costs, and probabilistic nature of the intelligence they are deploying.
What we will cover:
The Probabilistic Engine: Moving from "Search" logic to "Prediction" logic—why AI hallucinates and how to harness it.
Tokenomics & Cost Architecture: A deep dive into "Tokens" as the currency of AI. You will learn to calculate input/output costs for any business use case.
Context Window Dynamics: Understanding the physical memory limits of AI models and how it affects long-form business strategy and document analysis.
Intelligence vs. Automation: Identifying where LLMs excel at "reasoning" and where traditional software still wins.
The "Build" Goal: By the end of this topic, you will have deployed your first functional tool: The BWI Token Estimator, allowing you to run a feasibility study on any AI project before spending a dollar on development.
