Deterministic DAG Workflow Design

About this course

Build predictable workflows with directed acyclic graphs, clear data contracts, idempotent tasks and auditable recovery.

This advanced course is part of the Agentic AI & Intelligent Automation school. Work through the curriculum below in a instructor-led / cohort format, with an estimated study time of 25 h.

Course curriculum

• Module 1 — DAGs and Their Properties
• Module 2 — Idempotent Tasks and Exactly-Once Effects
• Module 3 — Compensation and Sagas
• Module 4 — Data Contracts Between Steps
• Module 5 — Testing Workflows
• Module 6 — Backfills and Reprocessing
• Module 7 — Audit Trails
• Module 8 — Where Agents Plug into a Deterministic Backbone

Applied learning

• Case Study — Brackenfield Group: Closing the Books on a Workflow You Can Prove
• Lab 1 — A month-end reconciliation DAG
• Lab 2 — Replay a failed day
• Lab 3 — Prove idempotency under retries
• Capstone — A Deterministic Workflow You Can Prove

Who this course is for

Technology Professional; Engineer / Architect; Enterprise Team

Prerequisites

NE-AGI-205

Course details

• Course code: NE-AGI-310
• Level: Advanced
• Estimated duration: 25 h
• Delivery: Instructor-Led / Cohort