Understanding the 12-Factor Agents Methodology

Overview

Discover why reliable AI agents require more than delegating work to off‑the‑shelf frameworks. This foundational course introduces the 12‑Factor Agents methodology, distilling lessons that separate flashy demos from production systems.

Learn how well‑engineered software augmented with targeted LLM integration—and twelve clear principles—yields maintainable, scalable, and trustworthy agentic apps.

Syllabus

• Unit 1: Why Principles Matter for Reliable Agent Systems
Fill in the Blanks about Agent Reliability
Quiz on Reliable AI Agent Principles
Clarifying the Core Reliability Problem
• Unit 2: Factors 1-4: Structure Prompts, Tools, and Context
Fill in the Blanks about Agent Foundations
Quiz on Reliable LLM Agent Foundations
Making Sense of Structured Interactions
• Unit 3: Factors 5-8: Manage State and Control Flow
Fill in the Blanks on Agent Control
Quiz on Agent State and Control Flow
Understanding State and Control Flow
• Unit 4: Factors 9-12: Keep Agents Small and Stateless
Fill in the Blanks about Agent Architecture
Quiz on Scalable Agent Architecture
Demystifying Production Architecture

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Subjects

Artificial Intelligence