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Building Production AI for Defense and Intelligence Programs (CMMC + IL5 + RMF + ATO + Model Cards + Air-Gap)

$199.00
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A focused course, tailored for you

Building Production AI for Defense and Intelligence Programs (CMMC + IL5 + RMF + ATO + Model Cards + Air-Gap)

Build production AI for DoD and IC programs in 10 weeks. CMMC + IL5 + RMF + ATO + model cards + air-gap deployment.

Defense and intelligence programs are deploying production AI: target recognition, predictive maintenance, decision support, signals analysis, document triage. Production AI in a DoD/IC environment is structurally different from commercial. Engineers who build the production AI pattern for defense take the senior program work. Here is the 10-week build.

$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Defense and intelligence programs are deploying production AI across target recognition, predictive maintenance, decision support, signals analysis, document triage, mission planning, and logistics. Production AI in a DoD/IC environment is structurally different from commercial AI.

CMMC 2.0 Level 2/3 compliance, DoD Cloud Computing SRG IL4/IL5/IL6 deployment, NIST RMF (800-37) and Authorization to Operate, NIST 800-53 control set application, NIST AI Risk Management Framework alignment, DoD Responsible AI principles, ICD 503 for intelligence community programs, FedRAMP High where commercial cloud touches, model cards and dataset documentation, air-gap deployment patterns, adversarial-robustness testing, and supply-chain security all need to land at platform engineering.

Engineers who build the production AI pattern for defense programs take the senior program work. Engineers who treat DoD/IC like commercial cloud miss the moment.

This course teaches the 10-week build of production AI for defense and intelligence programs: CMMC + IL5 + RMF + ATO architecture, model cards, air-gap deployment, adversarial robustness, supply-chain security, and the program engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific program.

What you walk away with

  • A documented CMMC 2.0 Level 2/3 alignment.
  • An IL5/IL6 deployment architecture.
  • A NIST RMF/ATO package framework.
  • Model cards for production models.
  • An air-gap deployment pattern.
  • An adversarial-robustness testing framework.
  • A supply-chain security framework.
  • A 10-week build plan.

The 12 modules

Module 1. Defense AI landscape 2026
Detailed walkthrough of DoD/IC AI deployment landscape: CDAO programs, JWCC vendor patterns (AWS, Microsoft, Google, Oracle), IL4 to IL6 progression, DoD Responsible AI Strategy, ICD 503 framework, recent program AI deployments at Army, Navy, Air Force, Space Force, NRO, NGA, NSA, CIA, and the contractor patterns at primes (the firm, SAIC, Northrop, Lockheed, Raytheon, General Dynamics, CACI, the firm, Peraton).
Module 2. CMMC 2.0 alignment
Build the CMMC 2.0 alignment: Level 2 (110 NIST 800-171 practices) vs Level 3 (additional 800-172 practices), assessment-readiness framework, C3PAO engagement pattern, self-assessment vs third-party-assessment selection, evidence-collection automation, plan-of-action-and-milestones (POA&M) management, and the integration with broader CDI/CUI handling.
Module 3. IL5/IL6 deployment architecture
Build the IL5/IL6 deployment architecture: AWS GovCloud (US), Azure Government, Google Distributed Cloud Air-Gapped, Oracle Government Cloud, mission-owner accreditation boundary, encryption requirements, key management (HSM + customer-managed), network architecture (boundary defence, IDS/IPS), audit logging integration, and the cATO (continuous ATO) pattern where applicable.
Module 4. NIST RMF and ATO package
Build the NIST RMF / ATO package framework: categorisation (FIPS 199), control selection (NIST 800-53 baseline + overlay), implementation, assessment, authorisation package (SSP, SAR, POA&M), continuous monitoring framework, and the integration with broader system engineering. The package that wins the AO signature.
Module 5. AI/ML overlay and DoD Responsible AI
Build the AI/ML overlay: NIST AI RMF alignment, DoD Responsible AI Strategy alignment (governance, warfighter trust, AI workforce, AI lifecycle, requirements validation), DoDD 3000.09 application to autonomy in weapon systems where applicable, ICD 503 + IC AI ethics overlay, human-in-the-loop and human-on-the-loop patterns, and the program-protection-plan integration.
Module 6. Model cards and dataset documentation
Build the model-card pattern for DoD AI: training-data lineage (sources, classification, handling), model-architecture documentation, intended-use documentation, performance-by-segment documentation, adversarial-robustness measurements, model-limitations documentation, change-log, and the integration with the ATO package. Three model-card patterns at peer programs.
Module 7. Air-gap deployment
Build the air-gap deployment pattern: model packaging for air-gap, dependency management for air-gap, inference-runtime selection for disconnected operation (NVIDIA Triton, TensorRT, ONNX Runtime, in-house), model-update pipeline through cross-domain solution, telemetry capture in air-gap, and the integration with broader disconnected-operations architecture. Three air-gap patterns at peer programs.
Module 8. Adversarial-robustness testing
Build the adversarial-robustness testing framework: threat modelling specific to mission, adversarial-example testing (PGD, FGSM, C&W), backdoor and trojan testing, data-poisoning resilience, model-extraction resilience, evasion-attack resilience, and the integration with broader red-teaming. Three adversarial-testing patterns aligned to MITRE ATLAS.
Module 9. Supply-chain security
Build the supply-chain security framework: model-provenance tracking, dataset-provenance tracking, dependency SBOM, container SBOM, third-party-component review, NIST 800-161 alignment, EO 14028 implementation, and the integration with broader software-supply-chain practice.
Module 10. Observability and incident response
Build the observability and incident response: classified-environment observability constraints, telemetry capture in air-gap and connected environments, model-performance monitoring, drift detection, adversarial-attack detection, mission-impact tracking, post-incident review aligned to RMF expectations, and the integration with broader cyber-incident response.
Module 11. Program engagement model
Build the program engagement: AO partnership, mission-owner partnership, security-control-assessor partnership, contracting-officer partnership, prime/sub relationship management for AI deliverables, and the integration with broader program management. The engagement that wins the next program.
Module 12. Your 10-week build plan
Week-by-week plan with weekly deliverables. Weeks 1-2: defense AI landscape + CMMC 2.0 alignment. Weeks 3-4: IL5/IL6 architecture + NIST RMF / ATO package. Weeks 5-6: AI/ML overlay + model cards. Weeks 7-8: air-gap deployment + adversarial-robustness testing. Weeks 9-10: supply-chain security + observability + program engagement. Deliverable: production AI pattern ready for first program ATO.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.
Modules 2 to 5 produce CMMC alignment, IL5 architecture, RMF/ATO package, and AI/ML overlay.
Modules 6 to 7 cover model cards and air-gap deployment.
Modules 8 to 9 cover adversarial robustness and supply-chain security.
Module 10 covers observability.
Module 11 covers program engagement.
Module 12 covers the 10-week build plan.

What you get with this course

  • The 12-module course delivered as text plus downloadable templates.
  • Templates and working code examples for CMMC alignment, IL5/IL6 deployment, NIST RMF/ATO package, AI/ML overlay, model cards, air-gap deployment, adversarial-robustness testing, supply-chain security, observability, program engagement.
  • A hand-built implementation playbook generated for your specific program.
  • Three worked examples of production AI patterns at peer defense programs.
  • Scripted talking points for the AO engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: CMMC alignment scaffold drafted.

Week 4: IL5 architecture + RMF/ATO package delivered.

Week 8: Air-gap deployment + adversarial robustness operational.

Week 10: Production AI pattern ready for first ATO.

Before and after

Before

Your program ships AI prototypes that stall at ATO. CMMC, IL5, RMF, model cards, air-gap, adversarial robustness are all in flight separately. AO signature is delayed. Senior program work goes to engineers shipping the production pattern.

After

A production AI pattern is in place. CMMC 2.0 alignment, IL5/IL6 architecture, RMF/ATO package, AI/ML overlay, model cards, air-gap deployment, adversarial-robustness testing, supply-chain security, observability, program engagement are all designed. First program ATO is in operation.

What happens if you do not address this

Programs without a production AI pattern stall at ATO. Primes and subs without the pattern lose senior program work.

Who it is for

For principal scientists, technical fellows, AI engineers, platform engineers, and chief engineers at DoD/IC prime contractors and subcontractors.

Who this is NOT for. Pure research roles without program-deployment scope. Engineers at firms with no DoD/IC business. Pure commercial AI engineers.

How it arrives

Text-based course via LMS, plus downloadable code examples and templates and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 200 to 400 hours of program effort across the 10-week build.

Why $199 is the right number

External defense AI consultants (federal advisory practices at Big4 + specialised primes-of-primes) charge $500K-$3M for production AI builds. Specialist firms (BlueHalo, Two Six Technologies, Modzy, Striveworks) charge $200K-$1M for AI MLOps platforms. $199 buys the focused playbook plus the implementation document for your specific program.

FAQ

Will this replace hiring a defense AI specialist?
Partially. It teaches the production pattern. You may still want specialist input for advanced ATO challenges.
What if my program is intelligence community (not DoD)?
Module 5 covers ICD 503 + IC AI ethics overlay.
Does this cover allied programs (FVEY, NATO)?
Module 11 covers allied program engagement.
What about JWCC vendor migration?
Module 3 covers JWCC vendor selection.
What is in the implementation playbook for me specifically?
CMMC alignment tailored to your program; RMF/ATO package matched to your specific system; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

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