Loop Engineering
Completed by Drew Barnes
November 12, 2026
4 hours (approximately)
Drew Barnes's account is verified. Coursera certifies their successful completion of Loop Engineering
What you will learn
Identify the six core components of Loop Engineering and explain how the Scorekeeper evaluates output quality and drift.
Configure Automations, Worktrees, Skills, Connectors, Sub-agents, and Memory to build modular AI agent workflows.
Map end-to-end loop execution and implement error handling, fallback logic, and self-correction cycles.
Design custom, domain-specific loops with governance guardrails and human-in-the-loop intervention protocols.
Skills you will gain
- Category: Context Management
- Category: Responsible AI
- Category: Retrieval-Augmented Generation
- Category: Model Evaluation
- Category: Application Programming Interface (API)
- Category: Systems Architecture
- Category: Token Optimization
- Category: Tool Calling
- Category: Generative AI Agents
- Category: Automation
- Category: Artificial Intelligence
- Category: Memory Management
