bRRAInSkills stacks · Practitioner
v2.0

PgM & PM with AI + bRRAIn

Run AI-assisted programs on bRRAIn: charter, plan, record, de-risk and report from one source of truth.

Level
Practitioner
Learning time
18 hours
Price
$499
Credential
Valid 3 years
Enroll on learn.brrain.io See the syllabus
What's new in v2.0

What changed in this edition.

  • The program's system of record is now the product: console Projects charters, Nexus Plan, Meetings, Memory and Reports replace the hand-maintained markdown files v1 taught.
  • New module on running the plan in Nexus Plan: Triage, Pairwise, Matrix with Auto-rate, Gantt with critical path and Auto-schedule, epics and sprints.
  • AI-assisted sessions follow the MCP-first method (start_brain_session, record_decision, record_learning); the git open.md/closure.md variant is taught as the alternative.
  • Risk work now follows the Risk & Contingency standard (RCCP v1.0, IRCM): causal risk statements, anchored scales, strength of knowledge, tested triggers and a decision support matrix.
  • Value estimates use reference classes from your vault instead of fixed haircuts, and corrections follow the Correction & Supersession standard.
  • Every lab is an AI role-play with a sponsor, delivery lead or stakeholder, and the exam is a new bank with AI-conducted performance items.
Outcomes

What you will be able to do.

  • You will be able to run a program intake that produces a measurable frame, sourced and adjusted value and risk numbers, an AI-fit triage and a reviewed charter in console Projects.
  • You will be able to decompose a program into classed, honestly tagged, single-owner work units with verifiable acceptance and enforced AI-human seams, following the 9-stage Build Methodology.
  • You will be able to run the program in Nexus Plan: triage incoming work, prioritize with Pairwise and Matrix, schedule from dependencies and the critical path, and run sprints.
  • You will be able to keep program memory trustworthy with MCP-first AI sessions, Nexus Memory, deliberate access design and declared corrections.
  • You will be able to assess and manage program risk to RCCP v1.0 with tested triggers, valid contingencies and a decision support matrix.
  • You will be able to run a weekly cadence where AI prepares the snapshot, people decide, meetings feed Plan and memory, and drift is caught at its cause.
  • You will be able to give practitioners, managers and directors consistent updates from one program state, and run blameless retros that produce structural fixes.

Who it's for

  • Program and project managers adopting AI in their daily practice
  • Engineering and delivery managers responsible for cross-team delivery
  • Product directors running portfolios of AI-assisted work
  • Founders running their own programs without a dedicated PMO
  • PMO leads designing AI-assisted program practice on bRRAIn

Not covered here

  • Engineering practice itself (see the AI Software Engineer and AI Engineer by Industry certifications)
  • Sales motion (see Sales Specialist)
  • Deployment and organizational onboarding of bRRAIn (see Implementation Specialist)
  • Role, permission and audit administration (see Access Controller and Security Controller); this course covers what a program manager requests and relies on
  • People management
Syllabus

8 modules, 63 lessons.

About 18 hours of learning. Open a module to see every lesson.

  1. Intake, Chartering and AI-Fit Triage 9 lessons · 2 h 30 min

    Run a four-phase intake, quantify value and risk with a reference class from your vault, triage work on five axes, charter the program in console Projects with AI drafting you review, and record a go, go-with-conditions or not-ready outcome.

    1. Module 1 pretest Diagnostic pretest · 5 min
    2. The intake conversation framework Reading · 15 min
    3. Quantifying value and risk from intake findings Reading · 15 min
    4. The five-axis AI-fit triage Reading · 15 min
    5. Chartering the program in console Projects Reading · 15 min
    6. Worked example: an AI-assisted intake from session to charter Worked example · 15 min
    7. Scenario: go, go with conditions, or not ready Scenario · 15 min
    8. Lab 1: Intake with a politically backed sponsor AI role-play lab · 45 min
    9. Module 1 retrieval check Retrieval check · 10 min
  2. Decomposition, Seams and the Build Methodology 10 lessons · 2 h 45 min

    Classify work as AI-runnable or human-judgment, engineer enforced seams, write executable scope, catch blob, smear and ping-pong failures, apply the 9-stage Build Methodology with honest agent tags, and model the result in Nexus Plan with epics and sprints.

    1. Module 2 pretest Diagnostic pretest · 5 min
    2. AI-runnable vs human-judgment work units Reading · 15 min
    3. Seam design: where AI authority ends and human authority begins Reading · 15 min
    4. The executable scope document Reading · 15 min
    5. Decomposition failure modes: blob, smear, ping-pong Reading · 15 min
    6. The 9-stage build methodology and honest agent tags Reading · 15 min
    7. Turning the decomposition into a Plan: epics, sprints and items Reading · 15 min
    8. Worked example: from charter to a seamed plan Worked example · 15 min
    9. Lab 2: Decompose a four-team program with the delivery lead AI role-play lab · 45 min
    10. Module 2 retrieval check Retrieval check · 10 min
  3. Program Memory, Risk and Governance 9 lessons · 2 h 30 min

    Run AI-assisted PM sessions with the MCP-first method, read program memory in Nexus Memory, write risks to the Risk & Contingency standard (RCCP v1.0, IRCM) with tested triggers and a decision support matrix, and design access and provenance for AI-touched artifacts.

    1. Module 3 pretest Diagnostic pretest · 5 min
    2. AI-assisted PM sessions: the MCP-first session method Reading · 15 min
    3. Reading program memory in Nexus Memory Reading · 15 min
    4. Program risk the RCCP way: statements, scales and strength of knowledge Reading · 15 min
    5. Triggers, contingencies and the decision support matrix Reading · 15 min
    6. Permissions, audit and zero trust on AI-touched program artifacts Reading · 15 min
    7. Worked example: one week of program memory Worked example · 15 min
    8. Lab 3: Risk review with the sponsor's chief of staff AI role-play lab · 45 min
    9. Module 3 retrieval check Retrieval check · 10 min
  4. Running the Plan in Nexus Plan 7 lessons · 2 h

    Triage incoming work one item at a time, prioritize with Pairwise and Matrix (with Auto-rate as a reviewed first pass), schedule from dependencies and the critical path with Auto-schedule and honest printouts, and run sprints with goals, capacity and deliberate carryover.

    1. Module 4 pretest Diagnostic pretest · 5 min
    2. Triage: turning incoming work into decided work Reading · 15 min
    3. Prioritizing with Pairwise and Matrix Reading · 15 min
    4. Scheduling: dependencies, the critical path and Auto-schedule Reading · 15 min
    5. Running sprints in Plan: planning, tracking and closing Reading · 15 min
    6. Lab 4: Re-plan after a slip with the product owner AI role-play lab · 45 min
    7. Module 4 retrieval check Retrieval check · 10 min
  5. Cadence, Meetings and Cross-Team Coordination 8 lessons · 2 h 15 min

    Run the weekly sync where AI prepares the snapshot and people decide, capture meetings in Nexus Meetings and move their outputs into Plan and memory, track cross-team dependencies once, bridge context between teams, and detect drift at its cause.

    1. Module 5 pretest Diagnostic pretest · 5 min
    2. The weekly sync format: AI summarizes, humans decide Reading · 15 min
    3. Capturing the sync in Nexus Meetings Reading · 15 min
    4. Cross-team dependencies as first-class objects Reading · 15 min
    5. The AI-as-context-bridge pattern Reading · 15 min
    6. Drift detection at program scale: the four signals Reading · 15 min
    7. Lab 5: Run a four-team weekly sync AI role-play lab · 45 min
    8. Module 5 retrieval check Retrieval check · 10 min
  6. Stakeholder Updates at Three Depths 7 lessons · 1 h 55 min

    Give practitioners, managers and directors the same facts at the right depth: one reviewed program state document, three renders, a consistency check that catches softened risks and missing decisions, and delivery through Reports, Plan printouts, the Morning Brief and direct access.

    1. Module 6 pretest Diagnostic pretest · 5 min
    2. Practitioner, manager, director: what each depth needs Reading · 15 min
    3. The one-source, three-renders pattern Reading · 15 min
    4. What compresses at each depth, and what must not Reading · 15 min
    5. Delivering updates with Reports, Plan printouts and the Morning Brief Reading · 15 min
    6. Lab 6: Three depths from one program state AI role-play lab · 40 min
    7. Module 6 retrieval check Retrieval check · 10 min
  7. Retros, Decisions and Learning Capture 7 lessons · 1 h 55 min

    Run blameless, evidence-based program retros, attribute causes across AI, people, environment and system gaps, record the decisions that earn a record, correct records under the Correction & Supersession standard, and close programs so the next one inherits.

    1. Module 7 pretest Diagnostic pretest · 5 min
    2. The blameless retro at program scale Reading · 15 min
    3. AI-vs-human cause taxonomy for program failures Reading · 15 min
    4. Decisions that earn a record, and decisions that don't Reading · 15 min
    5. Corrections, program closure and promoting learnings Reading · 15 min
    6. Lab 7: Facilitate a blameless retro on a program failure AI role-play lab · 40 min
    7. Module 7 retrieval check Retrieval check · 10 min
  8. Capstone and Exam Readiness 6 lessons · 1 h 45 min

    Prepare for and complete the capstone: a 45-minute AI role-play from intake to first stakeholder update, scored against the published rubric and anchor exemplars, plus exam strategy for the LOFT exam with AI-conducted performance items.

    1. Module 8 pretest Diagnostic pretest · 5 min
    2. The capstone: what is given, what is required, how it is scored Reading · 15 min
    3. Anchor levels: what 92, 78, 71 and 54 look like Reading · 15 min
    4. Exam readiness: blueprint, item types and timing Reading · 15 min
    5. Module 8 interleaved retrieval check Retrieval check · 10 min
    6. Capstone: Tenant Hub, from intake to first stakeholder update AI role-play lab · 45 min
Labs and capstone

Practice against someone who pushes back.

Labs run in your browser as AI role-plays. An AI plays the person on the other side of the scenario — with their own goals and objections — and your work is scored against the published rubric. There is nothing to install.

  • Lab 1 · Intake, Chartering and AI-Fit Triage

    AI role-play: four-phase intake with a politically backed COO sponsor at a fictional credit union

  • Lab 2 · Decomposition, Seams and the Build Methodology

    AI role-play: decomposing a four-team forecasting program with an impatient delivery lead

  • Lab 3 · Program Memory, Risk and Governance

    AI role-play: RCCP risk review and records-and-access setup with a sponsor's chief of staff

  • Lab 4 · Running the Plan in Nexus Plan

    AI role-play: re-planning a utility program in Nexus Plan after a critical-path slip with the product owner

  • Lab 5 · Cadence, Meetings and Cross-Team Coordination

    AI role-play: chairing a four-team weekly sync with three AI-played team leads

  • Lab 6 · Stakeholder Updates at Three Depths

    AI role-play: rendering one program state for three depths while a VP asks to soften the director page

  • Lab 7 · Retros, Decisions and Learning Capture

    AI role-play: facilitating a blameless retro on an AI-drafted message that went out wrong

  • Lab 8 · Capstone and Exam Readiness

    AI role-play capstone: Tenant Hub program from intake to first stakeholder update with a COO sponsor, a weekly sync event and a CFO request

Capstone

Tenant Hub: from intake to first stakeholder update

AI role-play scored against the published rubric

Pass mark: 72%

Scored on

  • Intake, value and AI-fit20%
  • Decomposition, seams and Plan25%
  • Memory, risk and governance20%
  • Cadence and stakeholder renders20%
  • Judgment and stakeholder handling15%
Exam and credential

One exam. A credential anyone can verify.

The exam

Items per form
59
Time allowed
120 min
Pass mark
72%
Performance tasks
4
Attempts included
2
Wait between attempts
7 days
  • Online and timed, taken on learn.brrain.io.
  • Your form is assembled for you from the course's item bank, so no two candidates sit the same paper.
  • Performance tasks are conducted by an AI examiner: you work through a realistic scenario and are scored against a published rubric.

The credential

  • A verifiable digital badge in your name.
  • A public verification page at learn.brrain.io/verify, so an employer or client can confirm it.
  • Valid for 3 years.
  • Renewal: At 3 years, by completing current CE modules and passing the then-current exam
Questions

Frequently asked.

Do I need to install anything for the labs?

No. Labs and the capstone run in your browser on learn.brrain.io as AI role-plays: an AI plays the person on the other side of the scenario, and your work is scored against the rubric published with the course.

How is the exam delivered?

Online and timed: 59 items in 120 minutes, on a form assembled for you from the course's item bank. 4 of the items are performance tasks conducted by an AI examiner: you do the work rather than pick an answer. The pass mark is 72%.

What if I don't pass first time?

You have 2 attempts, with a 7-day wait after an unsuccessful attempt. Further exam attempts can be bought for $299 each.

How long is the credential valid?

3 years. You receive a verifiable digital badge with a public verification page at learn.brrain.io/verify, so anyone can confirm it is genuine.

I hold the v1 credential. Is it still valid?

Yes. Credentials earned on v1 remain valid and verifiable at learn.brrain.io/verify. When you renew, you sit the then-current version of the exam.

Can my company enroll a team?

Yes. Firms can buy a certification bundle for $2,999 per firm per year — see the pricing page — or contact us to arrange enrollment for a larger group.

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PgM & PM with AI + bRRAIn

Run AI-assisted programs on bRRAIn: charter, plan, record, de-risk and report from one source of truth.

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