This 3-hour hands-on course teaches engineers how to design and operate governed multi-agent systems in production. Move beyond fragile coordination into production-ready orchestration using workflow spines, bounded delegation, runtime policy enforcement, and federated trust. Built for engineers shipping scalable agentic systems. Based on AEBOP T2.6 standards.
AEI members receive 20% off with code MEM_C12_20.
This module establishes why orchestration is a distinct engineering discipline. You will learn to identify the specific failure modes that occur between agents—not within them—such as unbounded delegation, context drift, and silent deadlocks. We map these to real enterprise costs.
Through the Orchestration Maturity Ladder, you will diagnose your current system's coordination gaps. The goal is to shift from seeing random failures to recognizing systematic orchestration faults, framing the precise engineering problems the rest of the course will solve.
Here, you transition from problems to blueprints. You will learn to design the foundational workflow spine, defining roles by contract and context flow, not by models. We cover the four core orchestration architectures—Hub-and-Spoke, Mediated Mesh, Federated, and Human-Arbitrated—and the rules for choosing between them based on risk and control.
The focus is on designing governed boundaries before any code is written. You will produce role contracts, delegation schemas, and a directed graph design that includes explicit rollback paths, ensuring your architecture enforces safety and auditability from the ground up.
This module translates design into robust, observable code. You will implement the six-layer orchestration stack, integrating coordination engines, policy fabrics, and observability tooling. We provide production code templates for bounded loops, human-escalation nodes, and structured telemetry that ties every action to a policy and trace.
The emphasis is on engineering control into the runtime. You will learn to codify contracts, enforce token/time budgets, and build CI/CD pipelines for your orchestration graphs. The outcome is deployable, testable coordination logic that is resilient to the failures identified in Module 1.
The final module focuses on the lifecycle of orchestration in the wild. You will operationalize the Design-Run-Observe-Recover loop, implementing metrics dashboards for the ten key health signals and procedures for incident response and federated scaling. This is where theory meets operational reality.
We solidify learning through anti-pattern analysis and real-world case studies from healthcare, finance, and supply chain. You will learn to diagnose common failures, apply lessons from the field, and evolve your orchestration’s governance and trust models, ensuring your systems remain dependable at scale.