
Overview
In this two-day course, participants will learn how to seamlessly integrate cutting-edge AI capabilities into their daily work, even if they’re not data scientists or Machine Learning engineers. They will extract insights at scale, interact with applications using natural language, drive coding productivity, and produce new content. Participants will also learn about empowering business users to make faster, data-driven decisions while enabling data teams and developers to build and deploy specialized, governed AI agents rapidly.
Skills Covered
- Summarize Snowflake’s GenAI capabilities for Enterprise AI.
- Explain how to work with Snowflake Cortex (Document AI, Copilot, Cortex Analyst, Cortex Search,
- Cortex Agents, Snowflake Intelligence, AISQL, Multimodality).
- Define enterprise AI governance considerations.
- Recognize how to leverage AI observability capability.
- Illustrate how to fine-tune models.
- Describe Snowflake’s recommended best practices for GenAI and cost management.
Prerequisites
- Recommended completion of the “Snowflake Multi-Factor Authentication (MFA) Essentials” free on-demand course.
- Completion of the “Snowflake Foundations” one-day course or equivalent Snowflake knowledge.
- Completion of on-demand Modules– Snowflake x Gen AI: A Cool Collab, Snowflake X GenAI: LLM Functions.
- Basic knowledge of SQL is required.
- Foundational knowledge of databases is recommended.
Target Audience
- Administrators
- Application Developers
- Data Analysts
- Data Engineers
- Data Scientists
- Snowflake users who want to fast-track GenAI adoption

Module 1: GenAI
- What is GenAI?
- Large Language Models (LLMs)
- AI Data Cloud Capability
- Cross-region Support
- REST APIs
- Running LLMs on Snowpark Container Services
Module 2: Cortex AISQL and LLM Functions
- Functions Overview
- Scalar Functions
- Aggregate Functions
- Helper Functions
- Prompt Engineering
Module 3: Multimodal Analytics
- Multimodal Analytics
- AI SQL Functions
Module 4: Snowflake Copilot
- What is Snowflake Copilot?
- Usage Guidelines
Module 5: Cortex Search
- What is a Cortex Search?
- Cortex Search Use Cases
- Cortex Search Workflow
- Cortex Search Service
- Using Cortex Search
Module 6: Cortex Analyst
- What is Cortex Analyst?
- Cortex Analyst Use Cases
- Cortex Analyst Compared with Snowflake Copilot
- How to Get Started?
- Semantic Models
- Semantic Views
- Usage Guidelines
Module 7: Cortex Agents
- Cortex Agents
- Creating Agents
Module 8: Knowledge Extensions
- Knowledge Extensions
- Setting Up Knowledge Extensions
Module 9: Snowflake Intelligence
- Current Challenges
- Snowflake Intelligence
- Agents in Snowflake Intelligence
Module 10: Cortex Fine-tuning
- What is Cortex Fine-tuning?
- Using Cortex Fine-tuning
Module 11: Document AI
- What is Document AI?
- Getting Started with Document AI
- Using Document AI
Module 12: Security and Governance
- Security and Governance
- Governance Controls
- Guardrails in Snowflake
- GenAI Feature Governance
- Auditing and Monitoring
Module 13: Cost Management
- Cortex Meter Usage
- Tracking Costs
- Guidelines for Effective Cost Control
Module 14: AI Observability
- Production Rollout Challenges
- Setting Up TruLens
Dates & Locations
July 16, 2026 - July 17, 2026

Exam & Certification
SnowPro Speciality: GEN AI Certification Exam Ges-C01
This certification will test the ability to:
- Define and implement Snowflake Gen AI principles, capabilities, and best practices
- Leverage Snowflake Cortex AI features, LLMs, and offerings to meet customer use cases
- Build open-source models with Snowpark Container Services and Snowflake Model Registry
SNOWPRO SPECIALTY: GEN AI CANDIDATE
1 or more years of Gen AI experience with Snowflake, in an enterprise environment.
In addition, successful candidates may have experience with writing code in Python. Previous data engineering and SQL knowledge is assumed.
Training & Certification Guide
Frequently Asked Questions
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All courses are HRD Claimable.
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