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Build, deploy, and scale autonomous AI agents. From single-agent setups to multi-agent systems.
Lesson sequence
Start at lesson one or jump to the problem you need to solve now.
Understand agents conceptually — how they differ from chatbots and why they matter.
Understand when to use a simple tool, a single agent, or a multi-agent system.
Build and configure a production-ready single agent with tools, memory, and error handling.
Design orchestrator-worker architectures and coordinate multiple specialized agents.
Give agents persistent memory — short-term, long-term, semantic, and episodic.
Standards for agent-to-agent messaging, handoffs, and inter-agent trust.
Keep agent costs predictable with budgets, model routing, and free-tier strategies.
Observability for agent fleets: what to track, how to alert, and how to debug.
Systematic approaches to finding and fixing agent failures without going insane.
Architecture patterns for scaling agent fleets from prototype to production at volume.