AI-901: Microsoft Azure AI Course with Hands On Simulations

We 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 Trainer Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material Instructor led hands on and simulations to practice that can be followed even if you have little to no experience TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS: Introduction Welcome to the course Order of concepts covered in the course Certificate of Completion Introduction to artificial intelligence terminology Setting up for hands on learning IMPORTANT Using Assignments in the course Creating a free Azure Account Installing Python installed on Windows Installing Visual Studios on Windows Introducing Microsoft Foundry and it's constant changes DONT SKIP: Redoing simulations in the course Describe principles of responsible AI Describe considerations for fairness and inclusiveness 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 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, generative and agentic AI and more Describe common text analysis techniques, including keyword extraction and more 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 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 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 images by using Content Understanding Extract information from documents & forms by using Azure Content Understanding Extract information from audio media by using Content Understanding Build a lightweight application with information extraction capabilities FINAL - Where do I go from here? Removing AI resources in Azure Getting your Udemy certificate for this course