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Snowflake · AI & Machine Learning · Professional

SnowPro Specialty: Gen AI exam guide

Exam GES-C02

SnowPro Specialty: Gen AI validates the ability to build generative AI solutions inside Snowflake using Cortex AI: LLM functions, Cortex Search for RAG, Cortex Analyst for text-to-SQL, fine-tuning and governance of AI workloads. It suits data teams adding AI features without moving data out of Snowflake.

QuestionsSee official page
Time limitSee official page
Passing scoreSee official page
Exam feeSee official page
Valid for2 years
DeliveryPearson VUE: online proctored or test center

Format: Multiple choice, multiple select and interactive items. Fee note: Fee not verified from Snowflake today; check the registration page.

Who it's for

Data engineers, analysts and AI developers who already hold SnowPro Core and build AI features on Snowflake.

What the exam covers

Snowflake Cortex AI Functions and LLMs—
Retrieval and Search (Cortex Search, RAG)—
Text-to-SQL and Cortex Analyst—
Gen AI Governance, Security and Cost—

A dash means the vendor does not publish a weight for that domain.

Eligibility & prerequisites

Required: Active SnowPro Core certification.

Recommended: Hands-on experience with Snowflake Cortex AI features, Snowpark and Python.

Keeping it active

Valid 2 years. Renew through Snowflake's Continuing Education program (eligible instructor-led training or a qualifying higher SnowPro certification) or by passing the shorter, lower-cost recertification exam within the window before expiry.

Skills & careers

Skills it validates

  • Cortex LLM functions (COMPLETE, SUMMARIZE, EXTRACT_ANSWER)
  • Building RAG with Cortex Search
  • Cortex Analyst semantic models
  • Fine-tuning models in Snowflake
  • Document AI processing
  • Governance and cost control for AI workloads

Job roles

AI Engineer (Data Platform)Data EngineerAnalytics EngineerML EngineerData Scientist

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Week 1: Cortex AI functions: try each LLM function in a trial account and compare models, cost and latency.
  2. Week 2: Cortex Search and RAG: build a search service over documents; chunking and retrieval quality.
  3. Week 3: Cortex Analyst and semantic models; Streamlit in Snowflake chat apps; fine-tuning and Document AI.
  4. Week 4: Governance, privileges, cost monitoring for AI; review Snowflake's study guide and take practice questions.

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Know which Cortex function fits which task and how they are billed.
  • Expect questions on privileges needed to use Cortex features (for example the CORTEX_USER database role).
  • Understand RAG components inside Snowflake: chunking, embeddings, search service refresh.
  • Confirm the exam code, length and fee on Snowflake's site before booking; this guide could not verify them from Snowflake today.

Key terms for this exam

All 9 terms Study with thinQcards™

Frequently asked questions

What does the Gen AI specialty cover?

Building generative AI in Snowflake with Cortex AI: LLM functions, Cortex Search, Cortex Analyst, fine-tuning, Document AI and governance.

Do I need SnowPro Core?

Yes. SnowPro Specialty exams require an active SnowPro Core.

How much does it cost?

Check Snowflake's registration page for the current specialty exam fee.

How long is it valid?

SnowPro certifications are valid for two years.

Is it worth it?

Yes if your organisation keeps data in Snowflake and wants AI features without moving data out; it is narrower than vendor-neutral AI certs.

Official page: learn.snowflake.com. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.