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Foundations of Your First Agent

The 15-Minute Agent Concept

Selecting the Right Job

The Agent Blueprint: 5 Core Components

Constructing the Loop

Step 1: Setting the Trigger

Step 2: Gathering Context

Step 3: AI Reasoning and Prompts

Step 4: Action and Output

🎮 Pixel Quest: The Agent Loop Review

Reliability and Launch

Defining Success and Guardrails

Iterative Testing

Deployment: Going Live

Knowledge Check

Quiz: Agent Fundamentals

Quiz: Triggers and Context

Quiz: Reasoning and Prompts

Quiz: Actions and Output

Quiz: Reliability and Testing

Course Feedback

Course Evaluation Survey

Launch your first working AI agent in just 15 minutes—no coding required. Build Your First Functional AI Agent in 15 Minutes is a fast, practical course that takes you from zero to a live, reliable micro-agent that completes a real job, such as email classification or ticket summarization. You’ll learn the agent loop—Trigger, Context, Reasoning, Action, Output—and apply it step by step using clear checklists and plug‑and‑play prompts. Instead of theory overload, you’ll design one tiny, high‑confidence workflow, define success, add simple guardrails, and go live with confidence. Along the way, you’ll see how to choose the right first task, map clean inputs, structure robust prompts with dynamic variables, and connect outputs to tools you already use. Short videos, visual blueprints, and quick tests help you verify every step before moving on. By the end, you’ll have a dependable micro-agent running in your stack and a reusable blueprint to build more. Whether you’re automating support operations, inbox triage, or internal summaries, this course gives you a repeatable, low-risk path to real AI ROI—today.

Build Your First Functional AI Agent in 15 Minutes

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            <p>Transitioning from simple AI interactions to autonomous workflows marks a significant shift in how technology is leveraged for productivity. This course focuses on the rapid development of functional AI agents, moving beyond standard chatbots to create systems capable of independent task execution. By prioritizing a "micro-agent" approach, you will learn to identify low-risk, high-impact tasks—such as email classification or ticket summarization—that can be automated in as little as 15 minutes. This foundational knowledge bridges the gap between theoretical AI and practical, no-code automation, providing a clear path to immediate results without the need for complex programming.</p>

<p>Success in building an AI agent relies on a structured blueprint consisting of five core stages: Trigger, Context, Reasoning, Action, and Output. Throughout this curriculum, you will construct a complete agent loop, learning how to connect data sources, write precise system prompts, and map AI decisions to real-world actions. Beyond the initial build, the course emphasizes the critical roles of reliability and iterative testing. By implementing guardrails and human-in-the-loop approvals, you will ensure your agent operates safely and effectively before going live. By the end of these modules, you will have a deployed, functional agent and a repeatable framework for scaling future automation projects.</p>
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