ChatGPT said:
Here’s a crisp, production-focused 150-word course description you can use directly:
This intensive 3-day Snowflake hands-on training is designed to make you production-project ready, with a strong focus on real-world data engineering and AI use cases. The program begins with Snowflake data loading fundamentals, covering bulk loads, continuous ingestion, and best practices for structured and semi-structured data. You will then build end-to-end data pipelines using Snowpipe, Streams, and Tasks, enabling automated, incremental, and near-real-time processing.
The course dives deep into Time Travel and Zero-Copy Cloning, helping you implement data recovery, auditing, and environment isolation strategies used in enterprise projects. You will also learn Snowflake performance tuning techniques, including query optimization, warehouse sizing, clustering, and cost-performance trade-offs.
Finally, the training introduces Snowflake Cortex AI, where you’ll explore GenAI capabilities, embeddings, LLM-powered analytics, and AI-driven validation use cases. By the end of the 3 days, you’ll have built a production-grade Snowflake project aligned with modern data and AI workloads.
. Covering below handson.
- Snowflake data load
- Snowflake pipeline using --> snowpipe, tasks and streams
- Snowflake time travel and cloning
- Snowflake performance tuning
- Snowflake cortex AI