Microsoft Fabric: AI Services for Data Engineering

Course details

Get up to speed with the latest AI-powered features of Microsoft Fabric, the widely used analytics platform. In this course, instructor Sam Nasr provides an overview of integrating AI capabilities within Fabric, equipping you with the skills to harness AI services using REST API calls. Explore AI functions designed for efficient data processing and leveraging Foundry Tools, formerly known as Azure AI services. Along the way, Sam covers the essentials of configuring and evaluating AI skills. By the end of this course, you’ll also be equipped with insights into best practices for utilizing AI functions and skills.

Learning objectives
Utilize AI services in Fabric using REST API calls.
Leverage AI functions in Fabric for data processing.
Configure and evaluate AI skills.
Implement best practices for utilizing AI functions and skills in Fabric.

Concepts

Introduction

Microsoft Fabric - The cure for chaos

AI Services in Fabric

Prebuilt AI models in Fabric
Demo - Text analytics using REST API

AI Functions

Getting started with AI functions
Demo - Applying AI functions
Customize the configuration of AI functions
Demo - Customization parameters

AI Agents

AI agent configuration
Demo - Data agent
Difference between an AI agent and a copilot
Evaluation of the AI agent
Limitations
How the AI agent works

Implementing Best Practices

Common pitfalls
Best practices

Conclusion

Next steps and additional resources