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Course 03 · Intermediate
AI Automation, Intelligent Agents and Business Operations
Designing, deploying and controlling AI agents and automated workflows across operations — with human oversight, guardrails and measurable process improvement.
Learning outcomes
- ◆Decompose business processes into automatable tasks
- ◆Design agent workflows with tools, memory and escalation paths
- ◆Specify guardrails against prompt injection and data leakage
- ◆Measure throughput, quality and cost impact of automation
14-week syllabus
- Week 1From RPA to agentic AI
- Week 2Process mining and task decomposition
- Week 3Large language models in operations
- Week 4Agent architectures: tools, memory, planning
- Week 5Human-in-the-loop design and escalation
- Week 6Guardrails, prompt injection and safety controls
- Week 7Workflow orchestration and integration
- Week 8Midterm examination
- Week 9Customer service and back-office automation
- Week 10Monitoring, evaluation and drift
- Week 11Cost modelling for AI inference
- Week 12Case studies: logistics, banking, public sector
- Week 13Lifecycle management and decommissioning
- Week 14Capstone: agent deployment plan and final examination