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COMPEL Specialization Stream · AITM-ECI

COMPEL Academy — AI Experimentation Associate

Professional certification certifying that the holder can design, run, and govern AI experiments, with disciplined continuous-improvement loops across the COMPEL Evaluate and Learn stages.

Associate Technical Track 20 hours 20 CE credits

Profession title: AI Experimentation Associate

Audience: ML engineers, product analysts, and transformation practitioners running controlled AI experiments.

AI Experimentation Associate badge

Enroll in the AITM-ECI track

Registration, enablement, and the proctored assessment are delivered through compel.one. Seats open continuously.

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Prerequisite chain

  1. AITF AI Transformation Foundations
  2. → AITM-ECI (this credential)

Learning outcomes

The learning journey is sequenced to cover each outcome below in order. Every article in the journey maps to at least one outcome.

  1. 1. Design a governed AI experiment with clear success criteria.
  2. 2. Instrument evaluation protocols that withstand audit.
  3. 3. Run continuous-improvement loops that feed the COMPEL Learn stage.

Body of Knowledge articles (18)

Module M1.3 (18 items)

  1. Article
    What an AI Experiment Is
    M1.3-Art01
  2. Article
    Hypothesis Formulation and Metric Design
    M1.3-Art02
  3. Article
    Offline Evaluation
    M1.3-Art03
  4. Article
    Online Evaluation
    M1.3-Art04
  5. Article
    Hyperparameter Search and Model Selection
    M1.3-Art05
  6. Article
    Experiment Tracking, Reproducibility, and Replicability
    M1.3-Art06
  7. Article
    Pipelines and Orchestration
    M1.3-Art07
  8. Article
    Continuous Integration for ML
    M1.3-Art08
  9. Article
    Continuous Delivery and Governed Promotion
    M1.3-Art09
  10. Article
    Evaluating LLMs
    M1.3-Art10
  11. Article
    Red-Team Experimentation for Safety
    M1.3-Art11
  12. Article
    Experiment Cost and Compute Budget
    M1.3-Art12
  13. Article
    Regulatory Documentation for Experiments
    M1.3-Art13
  14. Article
    Experiment Brief and Experiment Report
    M1.3-Art14
  15. Lab
    Lab 01: Design and Execute an Offline Evaluation Harness
    M1.3-Art51
  16. Lab
    Lab 02: Design an Online A/B Test with Sample-Size Calculation and Rollback Criteria
    M1.3-Art52
  17. Case Study
    Case Study: Zillow Offers and the Missing Shadow Evaluation
    M1.3-Art61
  18. Template
    Artifact Template: Experiment Brief
    M1.3-Art71

Competencies demonstrated

  • → Experiment design and hypothesis management
  • → Evaluation protocols and holdout strategies
  • → Continuous-improvement loops and learning backlogs
  • → Measurement discipline for AI outcomes

Exam blueprint summary

Assessment
Non-proctored assessment
Passing score
70% passing score
Portfolio
Not required
Renewal
Every 24 months
Recommended hours
20
CE credits
20

Linked Core Mastery context

The Specialization Stream assumes AITF Foundations fluency. These Core Mastery resources are the recommended grounding before entering the AITM-ECI learning journey.

Formal credential definition

The machine-readable Open Badges 3.0 / W3C Verifiable Credential definition for AITM-ECI is published at /credential/aitm-experimentation-ci . HR platforms and AI citation engines can fetch the JSON-LD document at /credential/aitm-experimentation-ci.json .