Artificial Intelligence • Interactive Module

Module 13: AI Agents & Tool-Calling Systems

Master autonomous AI agent architecture: structured function calling schemas, ReAct observe-think-act loops, task planning DAGs, durable FSM state checkpointing, cognitive memory systems, Model Context Protocol (MCP), and multi-agent orchestration.

Concept Overview & Direct Technical Answer

Direct Definition: Master autonomous AI agent architecture: structured function calling schemas, ReAct observe-think-act loops, task planning DAGs, durable FSM state checkpointing, cognitive memory systems, Model Context Protocol (MCP), and multi-agent orchestration.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/ai-agents. Free, open curriculum for software engineers, systems practitioners, and interview candidates.