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brtradersincCPMAI v7 Certification Training

Cognitive Project Management for AI — a structured, vendor‑neutral methodology to plan, build, deploy, and govern real‑world AI/ML projects.

• Live online & classroom • Case‑study driven • Templates & playbooks • Mentor support until certification

Who It’s For

Project & product managers, data/AI leads, solution architects, business owners, and change agents delivering AI initiatives.

Training Format

Instructor‑led classes, recorded replays, worksheets & canvases, capstone project, and exam‑style practice questions.

Outcomes

Apply a repeatable AI/ML delivery lifecycle with governance, risk, and MLOps practices to ship AI that works in production.

CPMAI v7 Modules

• Business Understanding & Use‑Case Framing (value, feasibility, risk)
• Data Readiness & Governance (profiling, quality, lineage, privacy)
• Model Selection & Experimentation (baselines, evaluation design, bias checks)
• Operationalization & MLOps (CI/CD for ML, feature stores, testing)
• Deployment Patterns (batch, online, A/B, shadow, blue‑green)
• Monitoring, Drift & Model Risk Management (KPIs, alerts, retraining)
• Responsible AI (ethics, fairness, security, compliance)
• Change & Stakeholder Management (adoption, comms, training)

Hands‑on Artifacts

• AI Canvas & Success Criteria sheet
• Data Readiness checklist & DQ scorecard
• Experiment plan, metrics matrix & bias log
• MLOps pipeline blueprint & test plan
• Model card & deployment runbook
• Monitoring dashboard KPIs & drift playbook

Capstone & Assessment

• Choose an AI use case from your domain
• Build artifacts across the CPMAI lifecycle
• Present deployment & risk strategy
• Instructor feedback + certification assessment

Schedule & Pricing

Weekend (5–6 weeks) • Weekday (3–4 weeks) • Bootcamp (4 days). Early‑bird & team discounts available.

CPMAI v7 – FAQs

Do I need prior ML experience?

Helpful but not mandatory. We focus on lifecycle, governance, and delivery practices with optional tech deep‑dives.

Is this vendor‑neutral?

Yes. Concepts apply across cloud platforms and ML stacks; examples use open, widely available tools.

Do you include templates?

Yes — canvases, checklists, runbooks, and model cards are included and customizable for your organization.

Talk to an Advisor

Deliver AI that ships — brtradersinc CPMAI v7