AI CERTs® Certification Development Process Aligned with Standards
Comprehensive Standards for AI Excellence
Apply for Certification NowIntroduction to AI CERTs® Certification
Welcome to the AI CERTs® Certification Program, a globally recognised certification process aligned with Standards, providing a rigorous, adaptable, and industry-aligned credentialing system for AI and tech professionals. Our approach ensures each certification meets the evolving needs of the workforce while upholding principles of integrity, continuous improvement, and excellence.
Step 1
Comprehensive Market Research
Aligning Certification with Industry Demand
- Objective Setting: Define clear goals and identify stakeholders to ensure the program's relevance.
- Data Analytics: Use market data to monitor trends and skill demand in the AI sector.
- Industry Insights: Engage industry leaders for qualitative insights through interviews and discussions.
- Report Compilation: Synthesise findings into a report to guide certification development, aligning it with industry needs.
Step 2
Expert-Led Exam Objective Development
Building Job-Ready Skills through Expert Guidance
- Panel of Experts: Assemble a team of industry veterans to design a relevant exam objectives.
- Framework Development: Outline objectives, exam objectives, and assessment methods.
- Practical Integration: Include hands-on labs and case studies to ensure real-world applicability.
- Pilot Testing: Validate the exam objectives with candidate feedback and make necessary adjustments.
Step 3
Job Task Analysis Integration
Ensuring Certifications Meet Real-World Job Requirements
- Job Surveys: Conduct surveys with industry professionals to identify necessary skills.
- Competency Framework: Develop a framework based on job roles, regularly updated to reflect industry changes.
Step 4
Certification Processes
Adhering to Global Certification Standards
- Process Audit: Benchmark current certification practices.
- Quality Management System: Maintain structured documentation and records for consistency.
- Regular Audits: Third-party audits to ensure quality standards.
Step 5
Dynamic and Flexible Assessment Design
Adapting to Changes in AI and Technology
- Governance Structure: Establish a board to oversee exam objectives updates.
- Adaptive Assessment: Implement technology to personalise learning based on performance.
- Resource Repository: Maintain an up-to-date library of case studies and materials.
Step 6
Innovative Assessment Methods
- Diverse Assessments: Multiple-choices Question based Tests.
- Data Analytics: Monitor assessment outcomes to identify assessment gaps.
- Continuous Tech Updates: Partner with tech providers for assessment platform improvements.
Step 7
Continuous Improvement Mechanism
Prioritising Feedback for Ongoing Program Enhancement
- Feedback Collection: Capture feedback from candidates, subject matter experts, and industry stakeholders.
- Improvement Board: A board prioritises feedback and makes improvements.
- Transparent Communication: Keep stakeholders informed of updates and enhancements.
Step 8
Ethics and Integrity Focus
Embedding Ethics in Every Certification
- Zero Tolerance: Enforce strict policies against breaches in integrity.
- Ethics in Assessment: Integrate ethical considerations into assessments and case studies.
Step 9
Professional Growth Pathways
Supporting Continuous Development
- Advanced Certifications: Provide structured pathways for skill enhancement and specialization.
- Community Platform: Facilitate a collaborative assessment environment for knowledge-sharing, networking, and mentorship.
- Achievement Recognition: Celebrate and reward milestones in professional development.
Why Choose AI CERTs® Certification?
The AI CERTs® Certification Program combines rigorous, aligned with standards, industry-aligned exam objectives designed to prepare professionals for the future. Our commitment to ethics, continuous improvement, and continuous professional development creates a trustworthy and dynamic certification program tailored to evolving industry needs.