Exam-Only Seekers

Prerequisites

Applicants become eligible to take the IntelliCademy AI/ML Specialist certification examination upon successfully completing the IntelliCademy AI/ML Specialist course.

Applicants may also be eligible to take the certification examination based off of the Required Experience Areas listed below:

AI/ML Specialist Certification Exam Criteria

1-2 Years of Experience
  • Demonstrate a basic understanding of AI and ML concepts, frameworks, and key terms, and apply standard supervised and unsupervised learning techniques in Python to solve simple problems.
  • Show awareness of performance metrics, testing strategies, and standard mitigation techniques for adversarial risks.
  • Recognize fundamental ethical considerations in AI and stay aware of emerging trends.
  • Execute code and make basic modifications within Python notebooks to reinforce learning.
  • Confidently communicate AI concepts and frameworks in mission-relevant contexts and adapt ML models to specific challenges and data sources.
  • Design monitoring strategies and implement retraining approaches to maintain robust performance in mission-critical environments.
  • Integrate secure AI design principles and adversarial threat models to protect solutions.
  • Apply ethical principles and ensure compliance, while incorporating future-forward trends and innovations into mission-focused problem-solving.
  • Extend and customize Python workflows to support mission-relevant data and applications.
  • Effectively translate complex AI/ML concepts for diverse audiences and lead the development of custom ML pipelines for high-impact scenarios.
  • Architect end-to-end AI deployments, incorporating mitigation strategies for performance drift and mission-specific challenges.
  • Proactively strategize defenses against sophisticated threats while fostering ethical practices and compliance.
  • Shape organizational AI strategies by integrating emerging advancements.
  • Design and implement advanced, mission-ready workflows in Python, demonstrating expert-level skill and adaptability.

AI/ML Specialist Beta Exam-Only Seeker Eligibility Application

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Where applicable, your resume should include: Years of experience in AI/ML – related roles Specific projects or roles where you: Used supervised or unsupervised learning techniques in Python Evaluated models using performance metrics, testing methods, or adversarial mitigation Demonstrated awareness of AI ethics and trends Contributed to mission-relevant or end-to-end AI solutions Designed or built custom ML pipelines or advanced workflows
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