Building Low-Code AI Agents with Copilot Studio and Azure SQL Database for Under $10/Month
In this presentation, Microsoft Developer, featuring Bob Ward, explains how to set up and scale AI agents using Copilot Studio and Azure SQL Database for only $10 a month, with no coding required.
Building Low-Code AI Agents with Copilot Studio and Azure SQL Database for Under $10/Month
Presented by: Bob Ward, Principal Architect, Azure Data team
Overview
This session walks you through creating a custom AI application that understands your data using Copilot Studio and Azure SQL Database. Designed for real-life use cases such as helping custom shoppers, the approach is low-code and cost-conscious—enabling you to deploy scalable AI agents for under $10 per month.
Key Topics Covered
- Introduction: What you will learn and the scenario overview (AdventureWorks sample)
- Prerequisites: Getting started with Azure SQL Database (free options highlighted)
- Building with Copilot Studio: Step-by-step guidance using Copilot Studio's low-code environment to create AI agents
- Walkthrough: Navigating the Azure portal, integrating with data, and testing the AI agent
- Deployment & Budgeting: Final results discussion and a breakdown of the total cost—demonstrating truly affordable AI integration
Steps Demonstrated
- Blueprint/Overview: Understanding the architecture of the solution
- AdventureWorks Scenario: Framing the business problem with practical data
- Setting Up Azure SQL: Using the free tiers for cost-efficient data storage
- Creating AI Agents: Leveraging Copilot Studio for no-code/low-code agent development
- Testing: How to validate and refine the AI agent in real time
- Scaling Up: Adapting the approach for different use cases
- Budget Analysis: Clear explanation of keeping the solution under $10/month
Why Choose This Approach?
- Enables rapid prototyping and deployment of data-driven AI agents
- Suitable for non-developers or teams with limited coding experience
- Demonstrates real cost optimization using Azure's free or low-cost tiers
- Practical roadmap to scale solutions across various business scenarios
Useful Links
Author
Bob Ward, Principal Architect, Azure Data team (Featured by Microsoft Developer)
This session is ideal for those interested in practical AI integration, cost-effective cloud solutions, and leveraging Microsoft's low-code tools to solve real-world problems.