Cortex AI is already inside your Snowflake account. Most teams use one function, hit a wall, and never learn the other six — or worse, ship code built on a feature that doesn’t actually exist. This course fixes both problems.
Across 22 modules and 87 lessons you build production AI applications directly inside Snowflake, using every real Cortex AI surface: task functions (AI_SENTIMENT, AI_TRANSLATE, AI_EXTRACT), AI_COMPLETE, Cortex Search, Cortex Analyst, the ML Functions (forecasting, anomaly detection, contribution analysis), the document-parsing pipeline, fine-tuning, and multi-tool agents — all wired to one running case study: a CPG company’s product-review, POS, and shipment data, escalating module by module into a governed, cost-monitored intelligence platform.
What makes this course different:
- Every function call is fact-audited against live Snowflake documentation. Not paraphrased from a blog post — every SQL statement, every model id, every class name on screen was independently web-verified in two full passes (before AND after the slides were built), and multiple real fabrications from other AI-course content were caught and corrected before publish: a Cortex ML class name that doesn’t exist, a semantic-model YAML structure that was nested wrong, invalid model ids copied from stale sources.
- The tool-selection matrix, not just a feature tour. The single most common Cortex mistake is reaching for
AI_COMPLETEwhen a purpose-built task function is cheaper and more reliable — this course teaches you the decision framework, not just seven disconnected demos. - Cost engineering as a first-class topic. What actually gets metered (tokens x model tier, not “calls”), how to estimate a workload’s cost before running it at scale, and the real monitoring query against
CORTEX_AISQL_USAGE_HISTORY— not an afterthought slide.
