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Agents

Multi-agent orchestration

Choose and implement multi-agent patterns such as supervisor, pipeline and debate.

Target proficiency: Applied

Course outcomes

  • AIN 401 CO3

    Design an AI-native system architecture — retrieval, agents, tools, memory and guardrails — through an AI-DLC gated workflow from Inception to Construction.

  • MST 501 CO4

    Demonstrate MCP, Orchestration & Multi-Agent competence: complete the Day 46–60 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 502 CO3

    Demonstrate Orchestration & Integration competence: complete the Day 31–45 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 502 CO6

    Demonstrate Advanced, Autonomous & Mastery competence: complete the Day 76–90 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 505 CO4

    Demonstrate Agents, Tools & Orchestration competence: complete the Day 46–60 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 507 CO3

    Demonstrate Orchestration, Memory & Retrieval competence: complete the Day 31–45 builds, explain the underlying theory, and defend the phase artefact under live questioning.

  • MST 508 CO3

    Demonstrate Retrieval, RAG & Agents competence: complete the Day 31–45 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Taught in weeks & phases

Textbook chapters