AI Agents & Automation
Build agents that
actually work.
A 4-6 week intensive on building autonomous AI agents. From single-agent tool use to multi-agent orchestration, with a focus on reliability and production deployment.
Curriculum
Six weeks of building
Agent Fundamentals
What agents are (and aren't), ReAct and tool-use patterns, memory systems and context management, single-agent architectures.
Multi-Agent Systems
Agent orchestration patterns, delegation and supervisor architectures, inter-agent communication, error handling and recovery.
Production Deployment
Observability and logging, cost management at scale, safety guardrails and human-in-the-loop, performance optimization.
Capstone Project
Design a multi-agent system, build end-to-end with tool integration, deploy with monitoring, present and peer review.
Projects
What you’ll build
Research agent
An agent that searches, synthesizes, and summarizes information from multiple sources with citation tracking.
Code review agent
Automated code review with tool integration — reads PRs, runs analysis, provides structured feedback.
Multi-agent workflow
A supervisor agent that delegates tasks to specialized sub-agents, managing state and error recovery.
Capstone: Production agent system
End-to-end agent deployment with monitoring, cost controls, safety guardrails, and human-in-the-loop escalation.
Details
Prerequisites & requirements
Build AI agents.
Enroll your team or schedule a custom program on agent architectures.