Ai-901 Microsoft Azure Ai Course With Hands On SimulationsMP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz
Language: English |
Size: 4.48 GB |
Duration: 5h 6m
Get prepared for the AI-901 exam with instructor led labs and hands on simulations available 24/7
What you'll learnLearn the concepts and perform hands on activities needed to pass the AI-901 exam
Gain a tremendous amount of knowledge involving advanced Azure AI Services and Microsoft Foundry
Get loads of hands on experience with Azure AI Services and Microsoft Foundry
Utilize hands on simulations that can be access anytime, anywhere!
RequirementsWillingness to put in the time and practice the steps shown in the course
DescriptionWe really hope you'll agree, this training is way more than the average course on Udemy! Have access to the following:Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified TrainerLecture that explains the concepts in an easy to learn method for someone that is just starting out with this materialInstructor led hands on and simulations to practice that can be followed even if you have little to no experienceTOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:IntroductionWelcome to the courseOrder of concepts covered in the courseCertificate of CompletionIntroduction to artificial intelligence terminologySetting up for hands on learningIMPORTANT Using Assignments in the courseCreating a free Azure AccountInstalling Python installed on WindowsInstalling Visual Studios on WindowsIntroducing Microsoft Foundry and it's constant changesDONT SKIP: Redoing simulations in the courseDescribe principles of responsible AIDescribe considerations for fairness and inclusiveness in an AI solutionDescribe considerations for reliability and safety in an AI solutionDescribe considerations for privacy and security 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, generative and agentic AI and moreDescribe common text analysis techniques, including keyword extraction and moreIdentify 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 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 analysis Respond 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 capabilitiesInterpret 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 images by using Content UnderstandingExtract information from documents & forms by using Azure Content UnderstandingExtract information from audio media by using Content UnderstandingBuild a lightweight application with information extraction capabilitiesFINAL - Where do I go from here?Removing AI resources in AzureGetting your Udemy certificate for this course
IT people interested in learning and passing the Microsoft AI-901 exam!
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