School S08 · F02
AI Agents & Automation
Design, deploy and operate autonomous agents.
Focused on multi-step agentic systems that do real work — research, ops, sales, support — with human-in-the-loop when it matters.
Learning outcomes
What graduates can do.
- 01Design agents with planning, memory and tools
- 02Build durable, resumable agent runtimes
- 03Deploy human-in-the-loop review workflows
- 04Measure agent success with task-completion metrics
Curriculum
9 courses.
Delivered as a portfolio-based sequence. Every course culminates in shipped work reviewed by working practitioners.
- 01Agent Architectures (ReAct, Plan-and-Solve, Reflexion)
- 02Multi-Agent Systems & Orchestration
- 03Durable Execution & State Machines
- 04Browser, Code and OS Agents
- 05RPA + AI (Legacy System Automation)
- 06Human-in-the-Loop Design
- 07Evals for Long-Running Agents
- 08Agent Ops & Cost Control
- 09Capstone: Ship an Autonomous Agent to Production
Tools & technologies
LangGraphOpenAI AssistantsTemporaln8nPlaywrightBrowserbase
Career tracks
- Agent Engineer
- AI Automation Lead
- AI Ops Engineer
Featured programs
Flagship programs anchored in this school.
P05Advanced
AI Agent Engineering
Design, deploy and operate autonomous agents in production.
16 weeks · 18 ECTS · Cohort
P11Foundational
AI Automation Engineering
Automate real business processes end-to-end.
12 weeks · 12 ECTS · Cohort
P23Advanced
AI Agents & Automation Engineering
Build reliable multi-agent systems that do real work.
14 weeks · 15 ECTS · Cohort
Other schools in this faculty