Generative AI is moving from experiments to production, and organizations need professionals who can build systems on real enterprise data — structured tables alongside unstructured documents, contracts, and transcripts.
Whether you're a student, early-career professional, or experienced practitioner, this four-course program takes you from Snowflake fundamentals to working AI agents. Created by Snowflake's developer advocates, it emphasizes hands-on learning with in-product exercises, so you finish with skills you can apply on the job — not just concepts.
You will learn:
How to work with Snowflake's core objects including virtual warehouses, databases, UDFs, stored procedures, and Snowpark DataFrames How to run common AI tasks — summarization, translation, sentiment analysis, classification — with Cortex AI functions How to select and prompt a foundation model, and fine-tune one to distill a larger model or match a desired style How to build retrieval-augmented generation apps on unstructured documents with Cortex Search How to build Text-to-SQL apps that answer natural-language questions from structured data with Cortex Analyst How to give users a front end for those apps with Streamlit How to design AI agents that plan, select tools, and synthesize insights across multiple data sources How to evaluate agent reliability, write orchestration instructions, and set up observability How to integrate agents with external applications using Model Context Protocol
Status: Agentic systems
Agentic systemsStatus: Natural Language Processing
Natural Language ProcessingBeginner·Professional Certificate