This lesson guides you on how to set up and run the code samples for the course on AI Agents. To get started, you’ll need a GitHub account, Python 3.12 or higher, an Azure subscription, and an Azure AI Foundry account. First, clone or fork the provided GitHub repository to create your own version of the course materials. You’ll need to generate a GitHub Personal Access Token, set up environment variables in a .env file, and install the required Python packages. After logging into your Azure account, you can easily access the environment variables and set up keyless authentication. With everything ready, you’re all set to dive into the exciting world of AI Agents! If you face any issues, you can reach out to the Azure community for support.
Introduction to Setting Up Your AI Code Environment
In this guide, we will walk you through the steps to run the code samples for your AI course. Whether you’re a beginner or looking to sharpen your skills, these instructions will help you get started quickly.
Requirements for the Course
Before diving in, make sure you have the following:
– A GitHub Account
– Python version 3.12 or newer
– An Azure Subscription
– An Azure AI Foundry Account
Clone or Fork the GitHub Repository
The first step is to clone or fork the GitHub repository. This allows you to have your own version of the course materials, enabling you to run and tweak the code as you wish. Simply click the link to fork the repo and get started.
Retrieve Your GitHub Personal Access Token
To access important features in this course, you will need a GitHub Personal Access Token (PAT). Go to your GitHub account settings and create a new fine-grained token. This token will grant you access to necessary resources for creating AI Agents.
Add Environment Variables
Next, you’ll set up a .env file to store sensitive information safely. You’ll fill in specific keys and values related to your Azure resources, which you can find in your Azure AI Foundry portal.
Install Required Packages
Ensure you have the necessary Python packages by running a simple command in your terminal. It’s best to do this in a Python virtual environment to avoid any conflicts.
Sign In to Azure
You’ll need to sign in to your Azure account for access to your resources. Use the terminal command az login –use-device-code to complete this process smoothly.
Setup Keyless Authentication
For a secure setup, we’ll go with keyless authentication using Azure OpenAI. This avoids hardcoding your credentials and keeps your information safe.
Conclusion
You are now ready to run the code for this course. Enjoy exploring the exciting world of AI Agents! If you run into any issues, feel free to reach out through the Azure AI Community Discord or create a support issue on GitHub.
Next Steps
Ready to learn more? Check out the next lesson on “Introduction to AI Agents and Agent Use Cases” to further enhance your knowledge and skills.
Tags: AI course, GitHub setup, Azure AI, Personal Access Token, Environment Variables, Keyless Authentication, Python Programming.
What is the Course Setup for AI Agents for Beginners?
The Course Setup for AI Agents for Beginners is designed to help you understand the basics of AI and how to create simple AI agents. It covers key concepts, tools, and techniques you need to get started.
Do I need prior knowledge of AI to take this course?
No, you don’t need any prior knowledge of AI to take this course. It is made for beginners, so anyone can join and learn at their own pace.
What tools will I learn to use in this course?
In this course, you will learn about popular tools and platforms used for creating AI agents, such as Python, machine learning frameworks, and chatbot builders. We will guide you through each tool step by step.
How long does the course take to complete?
The course is designed to be flexible. Most learners complete it in a few weeks if they study a couple of hours each week. You can go at your own speed, so take the time you need.
Will I get a certificate after finishing the course?
Yes, after you finish the course and complete all the required assignments, you will receive a certificate. This can be a great addition to your resume or LinkedIn profile.