Tier 1 of 6
AI Foundation
Validate core AI/ML concepts, terminology, and foundational understanding.
60 min exam75% passing score
Requirements
Complete 5 core courses, pass 1-hour proctored exam
Industry-recognized credentials validated by proctored exams, portfolio reviews, and expert evaluation. Foundation to expert, one rung at a time.
Validate core AI/ML concepts, terminology, and foundational understanding.
Complete 5 core courses, pass 1-hour proctored exam
Demonstrate applied ML and deep learning skills with hands-on competency.
Complete ML track through Stage 2, 2-hour proctored exam, 1 project
Full ML pipeline competency from data to deployment.
Complete ML track through Stage 4, 3-hour proctored exam, 2 projects, peer reviews
Production ML systems expertise across multiple domains.
Multi-domain competency, 4-hour practical exam, 3+ deployed projects
Deep domain specialization with industry-recognized expertise.
Domain specialization exam, capstone with mentor, open-source contribution
Pinnacle certification recognizing original contributions and mastery.
Original research, expert panel oral exam, industry recommendations
Finish the courses and projects for your target tier. We tell you when you're ready.
Adaptive self-assessment. It either says go, or tells you the two things to study first.
Proctored exam. Theory, code, and one system-design problem with trade-off prose.
Credential, public verification page, and a badge you can pin on your portfolio.
Adaptive multiple-choice across concepts, theory, and mathematical foundations.
Implement algorithms, build pipelines, and debug real ML code in a sandbox.
Design a real-world ML system. Trade-offs in prose, reviewed by certified experts.