Introduction to AI & Machine Learning with Microsoft Foundry and Azure AI services

Overview

🕮 Off the shelf (OTS)

1) Target Audience
This course is designed for data scientists, software developers, AI engineers, data analysts, and business intelligence professionals who want to build and integrate intelligent solutions using Microsoft's AI services. It is suited to those with a technical background who are looking for practical, hands-on experience with Azure-based AI tools across a range of real-world scenarios.

2) Pre-requisites
A basic understanding of programming and data analysis is recommended. No formal prerequisites are required.

3) Course Description
This course provides a hands-on introduction to Microsoft's AI ecosystem, covering Azure AI services, natural language processing, computer vision, speech processing, and generative AI using Microsoft Foundry and Azure OpenAI. Delegates build, evaluate, and deploy AI models, and examine how these solutions integrate with business applications such as Power BI.

4) Objectives / Topic Areas
• Introduction to AI concepts and their applications in enterprise environments
• Introduction to Microsoft Foundry: hubs, projects, resource connections, and the user interface
• Overview of Azure AI services and tools
• Natural language processing using Azure services and Foundry
• Computer vision and facial recognition using Azure services and Foundry
• Speech processing using Azure services and Foundry
• Generative AI with Foundry and Azure OpenAI: deploying, testing, and evaluating models
• Advanced generative AI: agents, prompt flows, and fine-tuning
• Real-world use cases and industry applications of Microsoft AI

5) Delivery Format
Delivered over two days (14 hours in total, 7 hours per day) via virtual instructor-led sessions using Microsoft Teams or Zoom, with interactive labs and hands-on exercises throughout.