Autonomous DataOps with AI Agents:n8n & Snowflake Automation
- Description
- Curriculum
- Reviews
Unlock the power of AI-driven DataOps with Autonomous DataOps with AI Agents: n8n & Snowflake Automation, a comprehensive hands-on course designed to teach you how to automate modern data operations using n8n, Snowflake, Docker, Ollama, Retrieval-Augmented Generation (RAG), and Qdrant Vector Database. Whether you’re a data engineer, automation developer, cloud professional, or AI enthusiast, this course provides the practical skills needed to build intelligent, scalable, and autonomous data automation solutions.
The course begins with an introduction to the core technologies, including n8n and Snowflake, helping learners understand workflow automation, cloud data warehousing, and modern DataOps practices. You’ll then set up your complete development environment by installing Docker Desktop, deploying the n8n AI Starter Kit, configuring secure credentials, creating a Snowflake Trial Account, and integrating enterprise tools such as Microsoft Outlook and Atlassian Jira with automated workflows.
As you progress, you’ll dive into advanced AI-powered DataOps by building intelligent Snowflake platforms using n8n AI agents and Ollama chat models. You’ll explore Retrieval-Augmented Generation (RAG), learn how vector databases such as Qdrant enable context-aware AI responses, and develop conversational AI agents capable of answering Snowflake-related queries with greater accuracy. The course also covers techniques for improving AI responses, handling out-of-context queries, and creating reliable enterprise AI assistants.
Finally, you’ll build real-world automation projects that convert conversations into automated actions. These include AI-powered user onboarding workflows, automated Role-Based Access Control (RBAC), intelligent Snowflake warehouse deployment, and scalable DataOps automation pipelines. Through practical demonstrations and hands-on exercises, you’ll gain experience integrating AI, cloud platforms, and workflow automation to reduce manual effort, improve operational efficiency, and streamline enterprise data management.
By the end of this course, you’ll have the confidence to design, build, and deploy autonomous AI-powered DataOps solutions using n8n and Snowflake. You’ll understand how to combine workflow automation, conversational AI, RAG, and cloud technologies to create intelligent systems that automate complex data operations in modern enterprise environments.
What You’ll Learn
- Understand the fundamentals of n8n workflow automation.
- Learn the architecture and capabilities of the Snowflake cloud data platform.
- Install and configure Docker Desktop and the n8n AI Starter Kit.
- Set up and manage a Snowflake Trial Account.
- Integrate Microsoft Outlook and Atlassian Jira with n8n workflows.
- Build intelligent AI agents using Ollama and n8n.
- Implement Retrieval-Augmented Generation (RAG) for context-aware AI responses.
- Use Qdrant Vector Database for semantic search and knowledge retrieval.
- Develop conversational AI agents for Snowflake operations.
- Improve AI response quality and handle out-of-context queries.
- Automate Snowflake user onboarding using AI-powered workflows.
- Implement automated Role-Based Access Control (RBAC) using n8n.
- Deploy Snowflake warehouses through intelligent automation workflows.
- Build scalable, secure, and autonomous DataOps pipelines for enterprise environments.
Target Audience
- Data Engineers
- DataOps Engineers
- Cloud Engineers
- AI Engineers and AI Developers
- Automation Engineers
- DevOps Professionals
- Snowflake Developers and Administrators
- Business Intelligence Professionals
- Software Developers interested in AI automation
- Anyone looking to automate enterprise data operations using AI and n8n
Prerequisites
- Basic understanding of databases and cloud computing concepts.
- Familiarity with SQL is helpful but not required.
- Basic knowledge of workflow automation is beneficial.
- A computer capable of running Docker Desktop.
- An internet connection for creating a Snowflake Trial Account and accessing cloud services.
- A willingness to learn AI-powered automation through hands-on projects.
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1. What is N8NThis lesson introduces n8n, an open-source workflow automation platform that enables users to connect applications, automate repetitive tasks, and build intelligent AI-powered workflows with minimal coding.
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2
2. What is Snowflake
This lesson introduces Snowflake, a cloud-native data platform that enables scalable data storage, processing, analytics, and secure data sharing.
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3
1. Install Docker Desktop on Local Machine
This lesson introduces n8n, an open-source workflow automation platform that enables users to connect applications, automate repetitive tasks, and build intelligent workflows with minimal coding.
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4
2. Set up N8N AI Starter kit on Docker
This lesson demonstrates how to deploy the n8n AI Starter Kit using Docker, providing a complete local environment for building and testing AI-powered automation workflows.
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5
3. Setting up master credentials and logging in to N8N Platform
This lesson explains how to configure secure master credentials for n8n and access the platform safely to begin building automation workflows.
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4. Set up Snowflake Trial Account
This lesson guides learners through creating and configuring a Snowflake Trial Account, providing a cloud-based environment for practicing DataOps and automation workflows.
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7
5. Snowflake Platform Mailbox system Microsoft Outlook with N8N
This lesson demonstrates how to integrate Microsoft Outlook with Snowflake and n8n to automate email notifications, alerts, and communication workflows.
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8
6. Snowflake Platform Ticketing System with Atlassian JIRA and N8N
This lesson teaches learners how to integrate Atlassian Jira with Snowflake and n8n to automate issue tracking, ticket creation, and workflow management.
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9
7. Setting up UI based Snowflake Platform set up with N8N workflow
This lesson explains how to configure a user-friendly, UI-based Snowflake environment using n8n workflows to simplify DataOps automation and cloud platform management.
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10
1. Intelligent Snowflake Data Platform using N8N AI agents and Ollama chat models
This lesson introduces an AI-driven Snowflake DataOps platform by integrating n8n AI agents with Ollama chat models to automate data operations and intelligent decision-making.
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11
2. Introduction to RAG and Qdrant Vector Database Context Based response
This lesson introduces Retrieval-Augmented Generation (RAG) and the Qdrant Vector Database, demonstrating how contextual information improves AI-generated responses
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12
3. RAG based Snowflake Platform Conversational Agent
This lesson demonstrates how to build a conversational AI agent that uses RAG to answer Snowflake-related queries accurately using contextual knowledge.
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13
4. Improve and Curate the response in RAG for out of context queries
This lesson focuses on improving RAG-based AI responses by handling out-of-context queries and enhancing the quality of generated answers.
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14
5. RAG based Automated Snowflake User Onboarding Workflow Conversations to Actions
Learn how to automate Snowflake user onboarding by combining conversational AI with workflow automation using n8n and Retrieval-Augmented Generation.
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15
6. RAG based Automated Snowflake RBAC using N8N
This lesson demonstrates how to automate Role-Based Access Control (RBAC) in Snowflake using n8n workflows and Retrieval-Augmented Generation.
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7. RAG based Automated Snowflake Warehouse deployment using N8N
This lesson teaches learners how to automate Snowflake warehouse deployment using n8n and RAG-powered workflows for faster and more consistent infrastructure provisioning.
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