Youth Advanced AI Lessons

🟢 WEEK 2 — Lesson 1 

Title: Introduction to AI Agents

🎯 Lesson Objective

By the end of this lesson, students will be able to understand what AI agents are, how they execute tasks step-by-step, and how to design a simple agent workflow.

1️⃣ What is an AI Agent?

Most students use AI like this:

Ask a question.

Get an answer.

Stop there.

But AI agents work differently.

An AI agent is:

An AI system that can take a goal

Break it into steps

Make decisions

And complete tasks automatically.

Instead of one response, an agent works through a process.

Example:

Goal: Plan a school event

Agent thinking:

Step 1: Suggest themes

Step 2: Create budget draft

Step 3: Draft invitation message

Step 4: Create checklist

That is agent behavior.

2️⃣ AI Chatbot vs AI Agent

Chatbot:

Answers one question at a time.

AI Agent:

Handles multi-step tasks.

Remembers instructions.

Follows a process toward a goal.

Think of it like this:

Chatbot = Calculator

Agent = Personal Assistant

Agents don’t just respond.

They execute.

3️⃣ How AI Agents Think

An AI agent usually follows this structure:

Goal → Plan → Act → Review → Continue.

Example:

Goal: Help student prepare for exams.

Plan:

Identify subjects

Break into weekly schedule

Generate summaries

Create quizzes.

Act:

Produce materials.

Review:

Adjust if needed

Agents operate in loops until the task is complete.

That is advanced system thinking.

4️⃣ Simple Examples of AI Agents

🧠 Study Agent

Input: “Help me prepare for Biology exam.”

Agent generates:

Study plan

Summaries

Practice questions.

📊 Business Idea Agent

Input: “Help me start a small food business.”

Agent generates:

Business idea

Target audience

Pricing suggestion

Marketing ideas.

🎨 Content Agent

Input: “Help me launch a YouTube channel.”

Agent generates:

Channel concept

Content calendar

Video script

Thumbnail ideas.

Notice something:

The agent handles the sequence — not just one reply.

5️⃣ Designing a Simple Agent Workflow

Learn this formula:

Goal → Steps → Output

Example:

Goal: Create AI-powered study assistant.

Steps:

Ask what subject

Generate summary

Create quiz

Suggest revision schedule.

Output:

Complete mini study system.

Agents are structured thinking systems.

They do not guess.

They follow plans.

 🛠 Practical Activity

Map an AI Agent

Students must design a simple AI agent on paper.

Options:

Option A: Study Support Agent

Option B: Small Business Assistant Agent

Option C: Content Creation Agent

They must clearly define:

The goal

The step-by-step process

The expected output

It must show logical flow.

📌 Mini Assessment (End of Class)

Students submit:

1 agent workflow map

1 explanation of how it differs from a normal chatbot response

Assessment criteria:

Clear goal

Logical steps

System thinking

Practical usefulness.

💡Key Takeaway

Chatbots answer questions.

AI agents execute goals.

Builders design systems that think step-by-step.

That is how innovators move from using AI to directing AI.

Next is Week 2 – Lesson 2: Introduction to RAG (Conceptual)

This is where agents gain real knowledge power 😌🚀

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