Snowflake Practitioner
by Snowflake
Snowflake's free foundation course, with role-specific labs and its CoCo coding agent in every track.
Overview
Snowflake announced Snowflake Practitioner at its Expedition 2026 event on November 3, 2026, as a free course for all customers and partners worldwide. Snowflake points learners who finish it toward its specialist tracks and SnowPro certification. You can take it in a public or private instructor-led class, run as a two-day curriculum, or on demand at your own pace (course OD-SPP), which Snowflake estimates at about 12 hours of moderate effort. Each module follows the same pattern: a lecture, then a lab. The lectures are shared. The labs depend on your role: data analysts work on querying, reporting, visualisation and AI-assisted analysis; data engineers on loading, transformation, pipelines and orchestration; platform administrators on security, roles, access control, cost management and monitoring. The labs run in Snowflake Workspace Notebooks, and CoCo, Snowflake's coding agent for data teams, is used in all three tracks, so learners do the lab work with an agent beside them. Lab access lasts 30 days from enrolment. Completing the course unlocks the Snowflake Practitioner Assessment and Badge. SnowPro exam fees are not covered. Snowflake assumes basic SQL and recommends its free Snowflake Platform Training and MFA Essentials courses first.
At a Glance
- Topic
- Frameworks
- Level
- Beginner
- Format
- Course
- Cost
- Free
- Duration
- ~12 hours self-paced, or a two-day instructor-led class; 30 days of lab access
- Provider
- Snowflake
- Hands-on
- Yes — code/exercises
- Certificate
- Available
What You’ll Learn
- ✓Work through the shared theory modules that every role takes before the labs split
- ✓Load, transform and orchestrate data pipelines in the data engineer lab track
- ✓Query, report on and visualise data, including AI-assisted analysis, in the analyst track
- ✓Set up roles, access control, security and monitoring in the platform administrator track
- ✓Manage and attribute Snowflake spend as a platform administrator using the built-in cost tools
- ✓Do the hands-on lab work in Workspace Notebooks with the CoCo coding agent
Highlights
- •Free for every Snowflake customer and partner, including the instructor-led classes
- •Shared lectures, then separate labs for analysts, data engineers and platform admins
- •Uses CoCo, Snowflake's coding agent, in every lab track
- •Ends with the Practitioner assessment and badge, and leads into SnowPro certification
Who It’s For
Best For
- ✓Data analysts new to Snowflake who need to query and report on its data
- ✓Data engineers moving pipelines onto Snowflake
- ✓Platform administrators responsible for Snowflake security, roles and spend
- ✓Teams that want everyone trained on the same foundation before specialist courses
Prerequisites
- •Basic SQL
- •Snowflake Platform Training (SPT) or equivalent awareness-level familiarity with Snowflake
- •Recommended: the free Snowflake MFA Essentials course
FAQ
What is Snowflake Practitioner?
Snowflake Practitioner is the free foundation course Snowflake opened to every customer and partner on November 3, 2026. Analysts, data engineers and platform admins sit through the same lectures, then split into labs for their own job. Snowflake's CoCo coding agent is part of the labs in all three tracks. At the end you can sit an assessment for the Practitioner badge.
Is Snowflake Practitioner free?
Snowflake Practitioner is free to access.
What level is Snowflake Practitioner for?
Snowflake Practitioner is aimed at a beginner audience. Recommended background: Basic SQL, Snowflake Platform Training (SPT) or equivalent awareness-level familiarity with Snowflake, Recommended: the free Snowflake MFA Essentials course.
How long does Snowflake Practitioner take?
Expect roughly ~12 hours self-paced, or a two-day instructor-led class; 30 days of lab access. Most learners work through it at their own pace.
What will I learn from Snowflake Practitioner?
You'll learn: Work through the shared theory modules that every role takes before the labs split; Load, transform and orchestrate data pipelines in the data engineer lab track; Query, report on and visualise data, including AI-assisted analysis, in the analyst track; Set up roles, access control, security and monitoring in the platform administrator track; Manage and attribute Snowflake spend as a platform administrator using the built-in cost tools; Do the hands-on lab work in Workspace Notebooks with the CoCo coding agent.
Topics
Sources
This page was written from 4 sources, 3 on domains other than learn.snowflake.com.