SnowPro certifications validate the ability to work with Snowflake as a data, analytics, application, and AI platform. The catalog begins with introductory and core platform knowledge, then branches into specialties and advanced roles such as architecture, administration, data engineering, analytics, security engineering, data science, native applications, Snowpark development, and MLOps.
The SnowPro program is organized around increasing depth in the Snowflake AI Data Cloud. Associate and Core certifications establish vocabulary, architecture, account objects, data movement, compute, security, and operational concepts. Specialty credentials examine narrower capabilities such as Snowpark, Native Apps, and generative AI. Advanced certifications focus on the decisions and tasks performed by architects, administrators, data engineers, data analysts, data scientists, security engineers, and MLOps practitioners. Because Snowflake revises exam codes and publishes versioned study guides, the current exam outline is the authoritative source for assessment details even when a certification's public name remains unchanged.
Snowflake data-platform foundations, engineering, administration, architecture, analytics, security, applications, and AI
Associate and Core credentials establish platform knowledge before Specialty and Advanced role-focused certifications.
SnowPro exams and study guides are maintained by Snowflake and track the platform capabilities used in current data and AI workloads.