Academy Syllabus
Five levels.
Five artifacts.
The full Predicai Academy curriculum. Click any level to expand the scenario, deliverable, and topics covered. Level 3 earns the Builder Certification.
Click any level to expand
Five levels · $149 one-time · Human review at every stage
01
Translator
The R.I.S.E. Framework
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“You're getting output. It's just never quite right. You don't know why it works when it does.”
Deliverable — Intent Protocol: Learn to architect every strategic request using Role, Input & Context, Steps, and Expectation. Build a reusable prompt structure that produces consistent output. Submit your Intent Protocol for human review.
R.I.S.E. FrameworkPrompt architectureContext completeness7 Gates of QualityHuman review process
02
Operator
The Drudgery Audit
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“You're busy all week but nothing actually moves forward. The same tasks came back on Monday.”
Deliverable — Time Ledger: Run a 3-day audit to find your Zombie Tasks — high-repetition, low-judgment work AI can own. Categorize every recurring task as Automate, Augment, or Human-Only. Calculate the annual cost of drudgery using your real hourly rate.
Zombie Task identificationAutomate vs Augment vs HumanROI calculationTime value analysisBusiness Case foundation
03
Builder
Reader → Thinker → Writer
✓ Certification
“You keep asking AI for complex work and it keeps failing. You don't know why.”
Deliverable — Agentic Blueprint: Stop prompting. Start building assembly lines. Map your most expensive Zombie Task into a 3-step chain: Reader (ingest), Thinker (reason), Writer (output). Run it in isolation, verify each output. Passing Level 3 earns the Predicai Builder Certification.
Agentic chain designReader/Thinker/Writer modelWorkflow decompositionOutput verificationHuman-in-the-Loop protocol
04
Forecaster
Weak Signals & Scenario Planning
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“You didn't see the risk coming until it was too late.”
Deliverable — Signal Map: Use AI to scan data for Weak Signals — trends invisible to the naked eye. Build scenario models across Linear, Exponential, and Black Swan futures. Submit a Human-in-the-Loop Protocol: at what confidence threshold does the AI stop? Who monitors it? What is the rollback?
Weak signal detectionScenario modelingLinear/Exponential/Black SwanHITL protocol designConfidence thresholds
05
Leader
AI Governance & Team Enablement
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“Your team is already using AI. Just badly.”
Deliverable — Strategic Doctrine: Define the rules of engagement: Intake, Governance, Enablement. Identify the Red Lines — what AI must never do autonomously. Final requirement: teach the workflow to one colleague. If you can teach it, you have scaled it.
AI governance designRed Lines frameworkTeam enablementShadow AI managementDoctrine documentation