Workflow Automation

About this course

Design operational workflows with explicit states, reliable integrations, human tasks and practical recovery paths.

This practitioner course is part of the Agentic AI & Intelligent Automation school. Work through the curriculum below in a self-paced / instructor-led format, with an estimated study time of 16 h.

Course curriculum

• Module 1 — Workflows as State Machines
• Module 2 — Triggers and Integration
• Module 3 — Human Tasks, SLAs and Escalation
• Module 4 — Retries, Timeouts and Idempotency
• Module 5 — Error Handling and Compensation
• Module 6 — Versioning and Change
• Module 7 — Monitoring and Operating Workflows

Applied learning

• Case study — Brackenfield Group: the workflow that worked in the demo
• Lab 1 — Fixing the slowest approver
• Lab 2 — Make posting and payment survive
• Lab 3 — Monitoring that finds faults
• Capstone — A Workflow Design and Resilience Review

Who this course is for

Technology Professional; Engineer / Architect; Enterprise Team

Prerequisites

NE-AGI-202

Course details

• Course code: NE-AGI-203
• Level: Practitioner
• Estimated duration: 16 h
• Delivery: Self-Paced / Instructor-Led