Alireza Chegini guides viewers through building and customizing an AI agent on Azure AI Foundry, covering setup, RAG chatbot features, and resource management essentials.

Build Your FIRST AI Agent in Minutes with Azure AI Foundry

Author: Alireza Chegini | AI Skills for Your Career

Learn how to build, deploy, and manage your first AI agent using Azure AI Foundry—no coding needed. This step-by-step video covers every stage for beginners.

What You'll Learn

• Setting up your Azure AI Foundry account
• Creating and configuring a new AI agent project
• Writing agent instructions and personality settings
• Uploading private knowledge (PDFs) for retrieval-augmented generation (RAG) Q&A
• Testing your agent live
• Monitoring your agent’s performance via Azure dashboards
• Cleaning up Azure resources to control costs

Video Timeline

• 00:00 – What You’ll Learn
• 00:21 – Introduction to Azure AI Foundry
• 00:58 – Account Setup
• 01:44 – Creating a New AI Agent Project
• 04:35 – Deploying Your First Agent
• 05:04 – Customizing Agent Behavior & Settings
• 07:27 – Live Agent Testing
• 09:54 – Writing Agent Instructions
• 11:40 – Adding Knowledge (PDF Upload for RAG Q&A)
• 13:08 – Chatting with Your Documents
• 14:37 – Performance & Observability Dashboard
• 17:11 – Resource Cleanup
• 20:03 – Final Recap & Next Steps

Getting Started

1. Set up your Azure AI Foundry account:
   • Go to Azure AI Foundry and create an account.
2. Create an AI Agent Project:
   • Use the Foundry interface to launch a new agent. Select basic parameters.
3. Configure Agent Instructions and Personality:
   • Define how your agent responds and its core behavior traits.
4. **Add Knowledge Using RAG (PDF Upload)😗*
   • Upload private documents for agent use. Enables Q&A with your data (RAG-style retrieval).
5. Test the Agent Live:
   • Try prompts; verify conversational performance.
6. Monitor Performance:
   • Use Foundry dashboard to track usage and response quality.
7. Clean Up Resources:
   • Delete unused projects to avoid unexpected Azure billing.

Best Practices

• Start with a simple agent and expand as you learn.
• Monitor consumption to manage costs.
• Customize agent instructions for specific business use cases.
• Use the observability dashboard to track effectiveness.

Additional Resources

• Azure AI Foundry Documentation
• n8n Automation Platform (for further automation)
• Contact Alireza Chegini for business automation or agent building partnerships

About the Author

Alireza Chegini specializes in practical, hands-on AI automation and agent development for business needs. His content is tailored to help career-minded developers and technical entrepreneurs quickly leverage Microsoft AI solutions for real-world projects.