AI Certifications
Industry-recognized credentials validated by proctored exams, portfolio reviews, and expert evaluation. Six tiers from Foundation to Expert.
AI Foundation
Validate core AI/ML concepts, terminology, and foundational understanding.
AI Developer
Demonstrate applied ML and deep learning skills with hands-on competency.
AI Practitioner
Full ML pipeline competency from data to deployment.
AI Professional
Production ML systems expertise across multiple domains.
AI Specialist
Deep domain specialization with industry-recognized expertise.
AI Expert
Pinnacle certification recognizing original contributions and mastery.
How Certification Works
Prepare
Complete the required courses and projects for your target level.
Assess
Take the adaptive skill assessment to verify readiness.
Examine
Complete the proctored exam with coding and theory sections.
Certify
Receive your credential, shareable badge, and verification page.
Exam Format
Theory Section
Adaptive multiple-choice questions covering concepts, theory, and mathematical foundations.
Coding Practical
Implement algorithms, build pipelines, and debug real ML code in a sandbox environment.
System Design
Design a real-world ML system with trade-off analysis, reviewed by certified experts.