AI-901: Azure AI Fundamentals

This course contains the use of artificial intelligence.

AI-901: Azure AI Fundamentals, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AI-901 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications.

By passing AI-901: Azure AI Fundamentals, you're gaining proficiency in the highly recognized Microsoft AI ecosystem.

• Identify AI concepts and responsibilities (40–45%)

• Implement AI solutions by using Microsoft Foundry (55–60%)

Identify AI concepts and capabilities (40–45%)

Describe principles of responsible AI

• Describe considerations for fairness in an AI solution

• Describe considerations for reliability and safety in an AI solution

• Describe considerations for privacy and security in an AI solution

• Describe considerations for inclusiveness in an AI solution

• Describe considerations for transparency in an AI solution

• Describe considerations for accountability in an AI solution

Identify AI model components and configurations

• Describe how generative AI models work

• Identify an appropriate AI model, based on capabilities

• Identify appropriate model deployment options and configuration parameters

Identify AI workloads

• Identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction

• Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization

• Identify features and capabilities of speech recognition and speech synthesis

• Identify features and capabilities of computer vision and image-generation models

• Identify techniques to extract information from text, images, audio, and videos

Implement AI solutions by using Microsoft Foundry (55–60%)

Implement generative AI apps and agents by using Foundry

• Create effective system and user prompts for generative AI models

• Deploy a model and interact with it in the Foundry portal

• Create a lightweight chat client application by using the Foundry SDK

• Create and test a single-agent solution in the Foundry portal

• Create a lightweight client application for an agent

Implement AI solutions for text and speech by using Foundry

• Build a lightweight application that includes text analysis

• Respond to spoken prompts by using a deployed multimodal model

• Build a lightweight application by using Azure Speech in Foundry Tools

Implement AI solutions with computer vision and image-generation capabilities by using Foundry

• Interpret visual input in prompts by using a deployed multimodal model

• Create new visual outputs by using generative models

• Build a lightweight application that includes vision capabilities

Implement AI solutions for information extraction by using Foundry

• Extract information from documents and forms by using Azure Content Understanding in Foundry Tools

• Extract information from images by using Content Understanding

• Extract information from audio and video by using Content Understanding

• Build a lightweight application with information extraction capabilities by using Content Understanding

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