The AI-900 Microsoft Azure AI Fundamentals Practice Test Course is designed to help you prepare for the AI-900 certification exam by covering key topics and providing practice questions. Here's a concise summary of the course content:Introduction to AI Concepts: Understand the fundamental principles of artificial intelligence, including machine learning, deep learning, and neural networks.Azure AI Services Overview: Learn about the various AI services offered by Microsoft Azure, such as Azure Machine Learning, Cognitive Services, and Azure Bot Services.Machine Learning on Azure: Explore how to build, train, and deploy machine learning models using Azure Machine Learning Studio and other tools.Natural Language Processing (NLP): Delve into NLP concepts and how to implement them using Azure services like Text Analytics and Language Understanding (LUIS).Computer Vision: Study image and video analysis techniques, including object detection and facial recognition, utilizing Azure's Computer Vision services.Responsible AI: Learn about ethical considerations and best practices for developing and deploying AI solutions responsibly.Exam Preparation: Access practice exams and quizzes designed to mirror the AI-900 certification exam format, helping you assess your readiness and identify areas for improvement.This course provides a comprehensive foundation in AI and Azure services, equipping you with the knowledge and skills needed to succeed in the AI-900 certification exam.
What you'll learn
Understand fundamental AI principles including machine learning and deep learning
Gain knowledge about Azure's AI services such as Cognitive Services and Azure Bot Services
Learn how to build and deploy machine learning models on Azure
Implement natural language processing techniques using Azure tools
Course objectives
Prepare effectively for the AI-900 certification exam
Identify knowledge gaps and focus on key areas for improvement
Familiarize yourself with ethical practices in AI development