Lesson 02: How AI Agents Think and Act in the Real World
In this lesson, you will explore how an AI agent actually “thinks” and operates behind the scenes using a simple but powerful framework: Notice, Think, Do, and Learn - also known as the PRAL loop.
You will learn how AI agents interpret human language, identify intent, reason through decisions, take action, and improve their behavior over time. Instead of focusing on theory, this lesson uses real-world examples from business operations and food systems to show how AI agents solve practical problems.
This lesson helps you understand how structured thinking allows AI agents to behave consistently, avoid robotic interactions, and deliver better outcomes for customers and organizations.
What You Will Learn
By the end of this lesson, you will be able to:
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Understand how an AI agent perceives user intent from natural language
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Explain how reasoning happens inside an AI agent before action is taken
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See how AI agents turn unstructured input into structured data
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Understand how actions are triggered based on decisions
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Recognize how learning helps agents improve over time
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Apply the PRAL framework to simple business and food-related scenarios
Why This Lesson Is Important
AI does not solve problems on its own - structure does.
Without a clear framework, AI responses can feel inconsistent, confusing, or disconnected from real business needs. The PRAL loop provides a clear way to design AI behavior that mirrors how humans notice situations, think through options, act, and learn from results.
This lesson helps you move from experimenting with AI to designing agents that support real operations, reduce friction, and create better experiences for customers and employees.
Practical Exercise
In this lesson, you will observe and apply the PRAL framework by:
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Providing natural language input to an AI agent
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Identifying how the agent notices intent
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Reviewing how the agent reasons step by step
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Watching the agent take action based on structured data
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Discussing how learning improves future responses
No advanced technical background is required.
Busy schedule? Learn anytime, at your own pace.
Get full access to the complete Agentic AI bootcamp as a flexible, self‑paced on‑demand course, designed for learners who cannot join live sessions but still want the same depth and projects.
What’s included
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Full session recordings so you can watch every lesson, demo, and Q&A on your own schedule.
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Downloadable lab instructions and templates to guide you step‑by‑step through all hands‑on exercises and projects.
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Lab support channel where you can ask questions, share screenshots, and get help if you are stuck on any exercise.
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Same projects and portfolio artifacts as the live cohort, so your outcomes and skills are aligned.
Pricing
The on‑demand course is offered at the same price as the live Agentic AI bootcamp and includes all future updates to the recordings and labs for that cohort.