Discover why reliable AI agents require more than off-the-shelf frameworks. This foundational course introduces the 12-Factor Agents methodology and the principles that separate flashy demos from production systems. Learn how sound software engineering, targeted LLM integration, and twelve clear principles yield maintainable, scalable, trustworthy agentic apps.
Overview
Syllabus
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
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
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
Factors 9-12: Keep Agents Small and Stateless
- Fill in the Blanks about Agent Architecture
- Quiz on Scalable Agent Architecture
- Demystifying Production Architecture
