Unit 1: Snowflake Architecture and AI/ML Benefits
Unit 2: Data Warehousing Fundamentals
Unit 3: Snowflake Setup and Data Connection
SQL for AI Gen in Snowflake: Data Warehousing Mastery
Unlock the power of SQL in Snowflake for AI Gen! Master data warehousing techniques to build and deploy intelligent applications.
Unit 1: Star Schema Fundamentals
Unit 2: Snowflake Schema Deep Dive
Unit 3: Optimizing Data Models for AI/ML
Unit 4: Handling Semi-Structured Data
Unit 5: Data Versioning and Lineage
Unit 1: Snowpipe for Continuous Data Ingestion
Unit 2: Automating Transformations with Tasks and Streams
Unit 3: Data Quality and Error Handling
Unit 4: Pipeline Monitoring and Optimization
Unit 1: Feature Engineering Fundamentals
Unit 2: Numerical Feature Engineering
Unit 3: Categorical Feature Engineering
Unit 4: Advanced Feature Engineering
Unit 1: Role-Based Access Control (RBAC) in Snowflake
Unit 2: Data Masking Techniques
Unit 3: Data Encryption and Auditing
Unit 1: Understanding Query Performance in Snowflake
Unit 2: Indexing and Partitioning for Performance
Unit 3: SQL Best Practices for AI Inference
Unit 1: Window Functions for Feature Engineering
Unit 2: User-Defined Functions (UDFs)
Unit 3: External Functions for AI/ML Integration
Unit 4: Time Series and Anomaly Detection