Azure AI Studio – Step-by-Step Guide
Open your browser and navigate to the Azure AI Studio URL https://portal.azure.com/#create/Microsoft.AI.
Log in using your Azure account credentials (you can sign up for a free account if you don’t have one).
Create a New AI Service:
- Once logged in, from the Azure Portal, click on Create a resource.
- Search for AI + Machine Learning in the search bar, and select Azure AI from the results.
- Click on the Create button to start configuring your new AI resource.
Select the AI Service Type:
- Azure AI Studio offers various services such as Language Understanding (LUIS), Form Recognizer, Text Analytics, Speech, and Translator.
- For Natural Language Processing (NLP), choose Language Understanding (LUIS) if your project involves analyzing text or intent recognition.
Define Project Details:
- Provide a name, resource group, region, and other necessary information.
- Select a pricing tier that matches your needs, then click «Review + Create» to finalize and deploy the AI resource.
Connect Data Sources:
- Once the AI service is deployed, you can upload or link your data for training and testing the model.
- In Form Recognizer, for example, you can upload PDFs or images to extract structured data.
Test and Deploy:
- After configuring the data sources, test the AI model using the Test environment in Azure AI Studio.
When satisfied with the results, you can deploy the service by clicking on Deploy and specify the compute resources required for the deployment.
