AI Automation — Production Agents & Agentic Systems
Build production AI agents from first principles: agent architectures, tool use, multi-step planning, multi-agent systems, memory, guardrails, observability, and enterprise deployment. Go beyond demos to systems that reliably automate real work.
Course Lessons
Agent Foundations — What Agents Are & When to Use Them
Tool Use & Function Calling — Design, Validation & Error Handling
ReAct Agents — Reasoning, Acting & Observing
Planning Agents — Task Decomposition & Execution
Agent Memory — Short-Term, Long-Term & Episodic
Multi-Agent Systems — Supervisor, Collaborative & Competitive
Guardrails, Safety & Controlled Execution
Agent Observability — Tracing, Logging & Evaluation
Workflow Automation — Event-Driven & DAG-Based Pipelines
Human-in-the-Loop — Approval, Review & Escalation Patterns
Production Agent Deployment — Reliability, Cost & Scaling
Enterprise AI Automation — Patterns, Governance & ROI