About This Course
<div>This course contains the use of artificial intelligence.</div><div><br></div><div>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.</div><div><br></div><div>By passing AI-901: Azure AI Fundamentals, you're gaining proficiency in the highly recognized Microsoft AI ecosystem.</div><div><ul><li>Identify AI concepts and responsibilities (40–45%)</li><li><span style="font-size: 1rem;">Implement AI solutions by using Microsoft Foundry (55–60%)</span></li></ul></div><div><span style="font-size: 1rem;">Identify AI concepts and capabilities (40–45%)</span></div><div><br></div><div>Describe principles of responsible AI</div><div><ul><li>Describe considerations for fairness in an AI solution</li><li><span style="font-size: 1rem;">Describe considerations for reliability and safety in an AI solution</span></li><li><span style="font-size: 1rem;">Describe considerations for privacy and security in an AI solution</span></li><li><span style="font-size: 1rem;">Describe considerations for inclusiveness in an AI solution</span></li><li><span style="font-size: 1rem;">Describe considerations for transparency in an AI solution</span></li><li><span style="font-size: 1rem;">Describe considerations for accountability in an AI solution</span></li></ul></div><div><span style="font-size: 1rem;">Identify AI model components and configurations</span></div><div><ul><li>Describe how generative AI models work</li><li><span style="font-size: 1rem;">Identify an appropriate AI model, based on capabilities</span></li><li><span style="font-size: 1rem;">Identify appropriate model deployment options and configuration parameters</span></li></ul></div><div><span style="font-size: 1rem;">Identify AI workloads</span></div><div><ul><li>Identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction</li><li><span style="font-size: 1rem;">Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization</span></li><li><span style="font-size: 1rem;">Identify features and capabilities of speech recognition and speech synthesis</span></li><li><span style="font-size: 1rem;">Identify features and capabilities of computer vision and image-generation models</span></li><li><span style="font-size: 1rem;">Identify techniques to extract information from text, images, audio, and videos</span></li></ul></div><div><span style="font-size: 1rem;">Implement AI solutions by using Microsoft Foundry (55–60%)</span></div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">Implement generative AI apps and agents by using Foundry</span><br><ul><li><span style="font-size: 1rem;">Create effective system and user prompts for generative AI models</span></li><li><span style="font-size: 1rem;">Deploy a model and interact with it in the Foundry portal</span></li><li><span style="font-size: 1rem;">Create a lightweight chat client application by using the Foundry SDK</span></li><li><span style="font-size: 1rem;">Create and test a single-agent solution in the Foundry portal</span></li><li><span style="font-size: 1rem;">Create a lightweight client application for an agent</span></li></ul></div><div><span style="font-size: 1rem;">Implement AI solutions for text and speech by using Foundry</span></div><div><ul><li>Build a lightweight application that includes text analysis</li><li><span style="font-size: 1rem;">Respond to spoken prompts by using a deployed multimodal model</span></li><li><span style="font-size: 1rem;">Build a lightweight application by using Azure Speech in Foundry Tools</span></li></ul></div><div><span style="font-size: 1rem;">Implement AI solutions with computer vision and image-generation capabilities by using Foundry</span></div><div><ul><li>Interpret visual input in prompts by using a deployed multimodal model</li><li><span style="font-size: 1rem;">Create new visual outputs by using generative models</span></li><li><span style="font-size: 1rem;">Build a lightweight application that includes vision capabilities</span></li></ul></div><div><span style="font-size: 1rem;">Implement AI solutions for information extraction by using Foundry</span></div><div><ul><li>Extract information from documents and forms by using Azure Content Understanding in Foundry Tools</li><li><span style="font-size: 1rem;">Extract information from images by using Content Understanding</span></li><li><span style="font-size: 1rem;">Extract information from audio and video by using Content Understanding</span></li><li><span style="font-size: 1rem;">Build a lightweight application with information extraction capabilities by using Content Understanding</span></li></ul></div><div><span style="font-size: 1rem;">This course contains promotional materials.</span></div>
What you'll learn:
- Identify features of common AI workloads
- Identify AI model components and configurations
- Identify AI workloads
- Implement generative AI apps and agents by using Foundry
- Implement AI solutions for text and speech by using Foundry
- Implement AI solutions with computer vision and image-generation capabilities by using Foundry
- Implement AI solutions for information extraction by using Foundry