Build the Core Agentic Loop with Bedrock
Build the foundational AI agent pattern: the agentic loop. Implement stopReason handling (tool_use vs end_turn), manage multi-turn conversations, and create the iteration logic that powers every production AI agent.
AWS Services You'll Use
Lab Details
- Track
- CCA-001
- Learning Path
- Architect's Atoll
- Difficulty
- Advanced
- Duration
- 50 min
- Environment
- Real AWS Sandbox
Why This Lab?
Unlike video courses or multiple-choice quizzes, this lab drops you into a real AWS sandbox where you build, deploy, and validate working infrastructure. Our automated validators check your actual AWS resources โ not honor system, real proof. Complete it and it shows up in your verified portfolio with a timestamp and badge.
More from Architect's Atoll
Multi-Step Tool Sequencing for AI Agents
Chain multiple tool calls with reasoning steps in sequence.
Advanced ยท 55 min๐ขBuild a Multi-Agent Coordinator System
Design coordinator-subagent fleets for complex AI task delegation.
Advanced ยท 70 min๐งญAgent Decision Loops with Retry & Fallback
Implement decision routing, retry logic, and escalation in AI agents.
Advanced ยท 55 minReady to build this for real?
Get a safe AWS sandbox, step-by-step guidance, and automated validation. No risk of surprise charges. Your completed lab shows up in your verified portfolio.
Launch Cloud Edventures โ