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AI-201

Advanced Multi-Agent Systems & Autonomous LLM Architectures

Design advanced agent systems using ReAct, memory, planning, reflection, supervisor-worker swarms, graph orchestration, human-in-the-loop control and sandboxed execution.

LevelYear 2 academic
Study load4 Northline semester credits · approximately 180 total student-effort hours
PrerequisitesAI-106 and asynchronous Python
DeliveryOnline · protected Northline Student Portal

What you will learn

  • Design multi-agent system architectures
  • Implement planning, memory and reflection patterns
  • Coordinate supervisor-worker agent workflows
  • Apply human approval and safety controls
  • Build and assess an advanced autonomous-system project

Course package

Structured lessons, guided exercises or labs where applicable, review questions, final assessment and applied project/capstone work according to the released course package.

Enrollment price: $99

Go to Secure Enrollment

Northline defines one semester credit as approximately 45 hours of total student academic effort. External transferability or accreditation equivalence is not implied. Payment gives access to the course offering shown in the Shopify listing; admission to separate selective programs is governed by NTI admissions.