AI Agent Orchestration
Go beyond prompting single tools. Orchestrate AI agents, build with agent SDKs, set up the MCP ecosystem.
Review and debug
This path goes deeper than the public prompt library, but the prompt pack below is the fastest way to apply the same supervision habits before you dive into the full curriculum.
Matching public prompts
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Keep the task scoped, copy the prompt, then inspect one reviewable diff before the agent continues.
Need the safest first move instead? Open the curated sample prompts before you browse the broader library.
API Keys, Rate Limits, and Cost Management
Understand AI API pricing, rate limits, budgets, and how to monitor and control your AI spending.
"Help me operationalize AI API usage for this app.
I need:
1. a secure API key handling plan for local, CI, and production
2. a rate-limit and retry strategy for 429s
3. a budget recommendationModule 1Understanding the Agent Landscape
The ecosystem of AI agents, frameworks, and protocols
Module 2Setting Up Your Agent Toolkit
Configure the tools and servers for agent-powered development
Module 3Multi-Agent Coordination
Running multiple AI agents on the same codebase
Module 4Agent-Driven Development Workflows
Development patterns built around AI agent capabilities