Tutorials > Ai-901: Azure Ai Fundamentals
Ai-901: Azure Ai FundamentalsDate: 6 June 2026 | Posted by: 0nelove |
![]() Ai-901: Azure Ai Fundamentals Published 6/2026 Created by Christopher Nett | 100.000+ Enrollments Worldwide MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 48 Lectures ( 6h 20m ) | Size: 4.2 GB Pass AI-901 | Hands-on experience in your own free Azure environment 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 Requirements ❗ Basic IT Knowledge ❗ Willingness to learn cool stuff! Description 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 This course contains promotional materials. Who this course is for ⭐ AI Engineer ⭐ AI Architect ⭐ AI Consultant ⭐ Developer ⭐ Cloud Engineer ⭐ Cloud Architect ⭐ IT Manager ⭐ Security Engineer ⭐ Security Consultant Homepage https://rapidgator.net/file/00a136536879d0a4710b790aa64a887a/AI-901_Azure_AI_Fundamentals.part5.rar.html
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