About This Course
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 AIDescribe considerations for fairness in an AI solutionDescribe considerations for reliability and safety in an AI solutionDescribe considerations for privacy and security in an AI solutionDescribe considerations for inclusiveness in an AI solutionDescribe considerations for transparency in an AI solutionDescribe considerations for accountability in an AI solutionIdentify AI model components and configurationsDescribe how generative AI models workIdentify an appropriate AI model, based on capabilitiesIdentify appropriate model deployment options and configuration parametersIdentify AI workloadsIdentify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extractionDescribe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarizationIdentify features and capabilities of speech recognition and speech synthesisIdentify features and capabilities of computer vision and image-generation modelsIdentify techniques to extract information from text, images, audio, and videosImplement AI solutions by using Microsoft Foundry (55–60%)Implement generative AI apps and agents by using FoundryCreate effective system and user prompts for generative AI modelsDeploy a model and interact with it in the Foundry portalCreate a lightweight chat client application by using the Foundry SDKCreate and test a single-agent solution in the Foundry portalCreate a lightweight client application for an agentImplement AI solutions for text and speech by using FoundryBuild a lightweight application that includes text analysisRespond to spoken prompts by using a deployed multimodal modelBuild a lightweight application by using Azure Speech in Foundry ToolsImplement AI solutions with computer vision and image-generation capabilities by using FoundryInterpret visual input in prompts by using a deployed multimodal modelCreate new visual outputs by using generative modelsBuild a lightweight application that includes vision capabilitiesImplement AI solutions for information extraction by using FoundryExtract information from documents and forms by using Azure Content Understanding in Foundry ToolsExtract information from images by using Content UnderstandingExtract information from audio and video by using Content UnderstandingBuild a lightweight application with information extraction capabilities by using Content UnderstandingThis course contains promotional materials.
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