LinkedIn – Building RAG Solutions with Azure AI Studio 2024-7

Building RAG Solutions with Azure AI Studio course. This comprehensive course is designed to enhance your skills in effectively using Azure AI Studio to build Recovery Augmented Generation (RAG) solutions. The course begins with a systematic overview of the process of creating a RAG solution and the fundamental principles of RAG and addresses the prerequisites for building a RAG solution in Azure AI Studio. Guided by Ziggy Zuleta, this hands-on course provides demonstrations of importing and vectorizing data and integrating this data into a deployed model, and demonstrates the process of customizing the default solution using the Quick Flow feature. The course concludes with a solution testing and evaluation guide, along with a hands-on session on testing REST API endpoints in Postman and using the endpoint in Microsoft Teams via Copilot Studio.

What you will learn:

• Deep understanding of RAG principles and concepts
• How to use Azure AI Studio to create and customize RAG solutions
• The process of importing, vectorizing and integrating data into RAG models
• Testing and evaluation methods of RAG solutions
• Practical use of REST API endpoints to interact with RAG models

This course is suitable for people who:

• They are looking to develop their skills in the field of artificial intelligence and machine learning
• They are interested in creating advanced natural language processing solutions
• Want to use Azure AI Studio to build intelligent applications
• Looking to learn how to create RAG solutions to improve the performance of language models

Building RAG Solutions with Azure AI Studio course specifications

• Publisher:  LinkedIn
• Instructor: Ziggy Zulueta
• Training level: beginner to advanced
• Training duration: 1 hour and 24 minutes

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