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COMPEL Specialization Stream · AITM-PEW

COMPEL Academy — Prompt Engineering Associate

Professional certification that certifies a practitioner can design, evaluate, and govern prompts for LLM-powered transformation workflows, including safety, evaluation, and cost controls.

Associate Technical Track 12 hours 12 CE credits

Profession title: Prompt Engineering Associate

Audience: Practitioners building LLM-powered workflows for enterprise transformation.

Prompt Engineering Associate badge

Enroll in the AITM-PEW track

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

Register on compel.one →

Prerequisite chain

  1. AITF AI Transformation Foundations
  2. → AITM-PEW (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, evaluate, and iterate production prompts.
  2. 2. Apply safety and red-team protocols against jailbreaks and abuse.
  3. 3. Budget cost and latency for LLM-powered transformation workflows.

Body of Knowledge articles (14)

Module M1.2 (14 items)

  1. Article
    Prompt Anatomy and the Operator-User Distinction
    M1.2-Art01
  2. Article
    Foundational Prompting Patterns
    M1.2-Art02
  3. Article
    Output Structuring and Constrained Decoding
    M1.2-Art03
  4. Article
    RAG Prompts and Grounding
    M1.2-Art04
  5. Article
    Tool Use and Function Calling
    M1.2-Art05
  6. Article
    Agentic Prompt Patterns
    M1.2-Art06
  7. Article
    Prompt Injection and Safety Boundaries
    M1.2-Art07
  8. Article
    Prompt Evaluation Harness
    M1.2-Art08
  9. Article
    Prompt Lifecycle Governance
    M1.2-Art09
  10. Article
    Transparency and Regulatory Obligations
    M1.2-Art10
  11. Lab
    Lab 01: Build and Evaluate a Prompt Template Across Three Model Providers
    M1.2-Art51
  12. Lab
    Lab 02: Design an Evaluation Harness for a Retrieval-Augmented Feature
    M1.2-Art52
  13. Case Study
    Case Study 01: Three Chatbot Incidents — Chevrolet of Watsonville, Air Canada, and DPD
    M1.2-Art61
  14. Template
    Template 01: Prompt Registry Entry and Test Plan
    M1.2-Art71

Competencies demonstrated

  • → Prompt design patterns and templates
  • → LLM evaluation and red-teaming
  • → Safety, jailbreak, and abuse controls
  • → Cost and latency budgeting for LLM workflows

Exam blueprint summary

Assessment
Non-proctored assessment
Passing score
70% passing score
Portfolio
Not required
Renewal
Every 24 months
Recommended hours
12
CE credits
12

Linked Core Mastery context

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

Formal credential definition

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