AI Quality Assessor Certificate (AIQSC)

AI Quality Assessor Certificate (AIQSC) Certification Program by Tonex

This program equips QA teams and test engineers with skills to audit AI output. Focus: quality, robustness, reproducibility. Learn to measure precision, recall, and validate model performance. Enhance explainability and manage model lifecycle quality.

Audience: QA teams, test engineers.

Learning Objectives:

• Measure and audit AI output quality.
• Plan effective regression tests.
• Validate model explainability and performance.
• Apply metrics for precision and recall.
• Implement quality gates in model lifecycles.
• Ensure AI robustness and reproducibility.

Program Modules:

1. AI Quality Metrics:
   • Precision and Recall.
   • Calibration techniques.
   • F1-score application.
   • Error rate analysis.
   • ROC curve interpretation.
   • AUC evaluation.
2. Regression Testing for AI:
   • Test planning strategies.
   • Data drift detection.
   • Model version control.
   • Automated testing frameworks.
   • Performance baselines.
   • Change impact analysis.
3. Explainability Validation:
   • SHAP values.
   • LIME explanations.
   • Feature importance.
   • Bias detection methods.
   • Model transparency.
   • Interpretability metrics.
4. Performance Validation:
   • Latency measurement.
   • Throughput analysis.
   • Resource utilization.
   • Scalability testing.
   • Stress testing.
   • A/B testing.
5. Model Lifecycle Quality Gates:
   • Deployment criteria.
   • Monitoring strategies.
   • Feedback loops.
   • Retraining triggers.
   • Version management.
   • Risk assessment.
6. AI Robustness and Reproducibility:
   • Adversarial testing.
   • Data augmentation.
   • Seed management.
   • Environment control.
   • Consistency checks.
   • Failure mode analysis.

Exam Domains:

1. Performance Evaluation Protocols.
2. Model Reliability Frameworks.
3. Data Integrity and Validation.
4. Algorithmic Bias Assessment.
5. Operational Deployment Standards.
6. Quality Assurance Methodologies.

Course Delivery:

The course is delivered through lectures and interactive discussions. Online resources provide readings and case studies.

Assessment and Certification:

Participants are assessed via quizzes and assignments. Successful completion grants AIQSC certification.

Question Types:

• Multiple Choice Questions (MCQs)
• True/False Statements
• Scenario-based Questions
• Fill in the Blank Questions
• Matching Questions
• Short Answer Questions

Passing Criteria: Candidates must achieve 70% or higher to pass.

Enroll now to enhance your AI quality assurance expertise.