Ai-901: Azure Ai Fundamentals
 

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
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