Autonomous Dataops With Ai Agents:n8n & Snowflake Automation
 

Build real-world autonomous Snowflake systems with AI workloads, RAG responses, and automated operational workflows
What you'll learn
Build n8n AI agents for Automated Snowflake Account Infrastructure provisioning , configuration control and tenancy onboarding
Create Automated Snowflake warehouse provisioning systems , credit quota control and decommissioning using N8N, Snowflake REST API , SQL API.
Create Automated Snowflake user onboarding and RBAC provisioning using N8N , Snowflake REST API , Snowflake SQL API.
Build end to end Snowflake Data Platform process using N8N
Build Automated request and response onboarding system in Snowflake platform.
Requirements
Knowledge of Snowflake Platform ( I will walkthrough how to set 30 Day Trial )
Knowledge of Snowflake rest api and sql api
N8N account ( I will walkthrough N8N AI Starter kit )
Knowledge of Docker and basic coding experience
Description
Modern Snowflake environments are powerful-but operating them at scale still requires constant human intervention. This course shows how to move beyond reactive operations and design autonomous Snowflake platforms powered by Agentic AI.
You'll learn how AI agents can continuously observe, reason, and act across your Snowflake environment to optimize performance, enforce governance, and resolve operational issues-without waiting for manual input. Through real-world architectures and practical patterns, the course demonstrates how to transform Snowflake Ops from ticket-driven firefighting into an intelligent, self-optimizing system.
The course covers how to design agent-driven workflows for resource provisioning, workload deployment, access governance, and incident response, You'll also explore guardrails, human-in-the-loop controls, and enterprise-ready design principles to safely deploy autonomous operations in production.
By the end of the course, you'll be able to architect Snowflake environments that self deploys and monitor themselves, make decisions in real time, and take corrective action automatically-reducing operational overhead while increasing reliability and business value.
Who this course is for
Data engineers , Data Platform engineers
DataOps professionals