Q3 2026 Cohort Coming Soon

Operational AI
Implementation

A 6-week intensive curriculum for software engineers and technical leaders transitioning into Operational AI. No toy demos — only production architecture. Classroom enrollment includes Operational AI community access.

6 modules
Hands-on projects
Expert-led cohort

Course Curriculum

Six modules of production architecture, taught from real implementation experience.

01

AI Strategy & Operational Mapping

1 week
Identifying high-value automation targets
Operational decision mapping
ROI frameworks for AI projects
Stakeholder alignment strategies
02

Decision Architecture

1.5 weeks
Decision routing design patterns
Context-aware logic systems
Escalation and fallback design
Audit trail architecture
03

Data Infrastructure

1 week
Event stream design
Data normalization pipelines
Real-time ingestion architecture
Vector stores and RAG setup
04

Evaluation Engines

1.5 weeks
LLM evaluation frameworks
Scoring and ranking systems
Anomaly detection integration
Multi-model orchestration
05

Automation Systems

1 week
Agentic workflow design
API integration patterns
Trigger and automation systems
Human-in-the-loop design
06

AI Governance

0.5 weeks
Safety boundary design
Compliance frameworks
Output validation systems
Incident response protocols

The Operational Command Stack

The 5-layer architecture students learn to build in this course — the same blueprint we use in client engagements.

Layer 1

Operational Data Layer

Continuous Signal Ingestion

Ingests, normalizes, and indexes high-velocity telemetry, ERP data, logs, and human inputs. Bridges the gap between siloed enterprise systems and unified AI context.

Layer 2

Context & Memory

Dynamic State Management

Retrieval-Augmented Generation architecture and temporal memory. Retrieves the exact operational context required for reasoning.

Layer 3

Stochastic Engine

Probabilistic Decision Making

Multi-agent orchestration and foundation models evaluate context, generate hypotheses, and output candidate actions.

Layer 4

Deterministic Guardrails

Policy & Safety Verification

Hard-coded rulesets that evaluate LLM outputs against business logic, compliance, and safety parameters before execution.

Layer 5

Automated Execution

Verifiable Actions

Translates approved intelligence into hard operational execution via APIs, triggering workflows or alerting human operators.

2.6x
output increase
4.6x
delivery cadence
1.9%
rework rate
0%
quality failure rate

From a recent implementation — see full results

Common Questions

When does the next cohort start?

Cohort 05 opens Q3 2026. Join the waitlist to lock in a discounted founding member rate and get first notification when enrollment opens.

Is this self-paced or live?

Curriculum runs as a 6-week guided cohort with live Q&A sessions, architecture reviews, and recorded lessons you can revisit any time.

Do I need prior AI experience?

You should have software engineering experience and be comfortable with APIs and backend systems. Prior ML or data science experience is not required — this curriculum is about operational architecture, not model training.

Will community access be included?

Yes. Classroom enrollment includes access to the Operational AI community for discussion, code review, and ongoing learning between cohorts.

Join the Q3 Cohort Waitlist

Cohort 05 opens Q3 2026. Join the waitlist for early access and a discounted founding member rate.