One Million Minds + One Platform

Designed to empower learners globally with cutting-edge AI skills and training. Whether you’re a beginner or looking to deepen your expertise, you will be equipped with hands-on education for a thriving future in AI.

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Why Join?

  • Expert-led training: Learn directly from Snowflake experts.
  • Practical Skill Building: Real-world knowledge to apply AI concepts in your career.
  • Career Advancement: Gain a competitive edge in a rapidly evolving field.

Help us bring the Snowflake Platform Training to you!

To ensure we reach the communities eager to learn, complete this form. You’ll help us understand where the greatest interest lies so we can plan training sessions in the cities that need them most.

Are you a student? Check out the Snowflake For Academia’s curated learning plan for students.

Snowflake Platform Training Topics Covered

Module 1: Interacting With Snowflake

  • Snowsight User Interfaces
  • Snowflake Notebook Capabilities
  • Running SQL Cells
  • Running Python Cells
  • Python Variable Substitution

Module 2: Identity and Access

  • Create a New Database
  • Explore your Database
  • Databases and Schemas
  • Transfer Ownership
  • Object Access by Role

Module 3: Database Object Hierarchy

  • Snowsight Object Browsers
  • Query Result Cache
  • How to Run Your Code
  • SHOW Commands
  • Query Data in Snowflake

Module 4: Tables, Data Types, and Loading Data

  • Create a Table
  • Locate Tables
  • View Table Definitions
  • Insert Data
  • SELECT and LIMIT

Module 5: Virtual Warehouses and Context

  • What is a Virtual Warehouse in Snowflake?
  • Virtual Warehouse Sizing Recommendations
  • Resizing Virtual Warehouses
  • Context Settings

Module 6: The Load Wizard and Snowflake Marketplace

  • Alternatives to the INSERT Statement
  • Load Data From a File
  • View Table Data
  • Clone a Table
  • Snowflake Marketplace
  • Private Sharing with Data Exchange

Module 7: Check Your Code

  • Use INFORMATION_SCHEMA to Query Metadata
  • Check Your Lab Work
  • Access Query History in Snowsight
  • Use Time Travel

Module 8: Stages and Semi-structured Data

  • Use the LIST Command
  • Use the COPY INTO Command to Load Data
  • Data Loading Tips and Tricks
  • Work With Semi-structured Data

Module 9: Unstructured Data and Cortex LLM Functions

  • Unstructured Data
  • Directory Tables
  • Introducing Snowflake Cortex AI
  • PARSE_DOCUMENT Function
  • Text Extraction Workflow
  • CLASSIFY_TEXT Function
  • Streamlit in Snowflake
  • COMPLETE Function