Overview

AI-900: Microsoft Azure AI Fundamentals Comprehensive is a cutting-edge course designed to provide individuals with a comprehensive understanding of artificial intelligence (AI) within the Microsoft Azure platform. This course is ideal for professionals looking to enhance their knowledge and skills in AI technology, as well as for beginners who are interested in exploring the world of AI.One of the key features of this course is the Practice Exam, which allows students to test their knowledge and skills before taking the official exam. This feature provides a valuable opportunity for students to assess their understanding of the material and identify areas for improvement. The Practice Exam is designed to simulate the format and difficulty level of the official exam, giving students a realistic preview of what to expect on exam day.In addition to this Practice Exam, this course offers a comprehensive overview of AI concepts and principles, with a focus on how they are applied within the Microsoft Azure platform. Students will learn about key AI technologies such as machine learning, natural language processing, computer vision, and more. They will also gain hands-on experience with Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.Throughout the course, students will have the opportunity to engage with interactive learning materials, including videos, quizzes, and hands-on labs. These materials are designed to help students reinforce their understanding of AI concepts and apply them in real-world scenarios. Students will also have access to a dedicated instructor who can provide guidance and support as they progress through the course.By the end of the course, students will have a solid foundation in AI technology and its applications within the Microsoft Azure platform. They will be well-prepared to take the official AI-900 exam and earn their certification as a Microsoft Azure AI Fundamentals professional.AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.AI-900: Microsoft Azure AI Fundamentals Exam details:Exam Name: Microsoft Certified - Azure AI FundamentalsExam Code: AI-900Exam Price: $99 (USD)Number of Questions: Maximum of 40-60 questions,Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,Length of Test: 60 Minutes. The exam is available in English and Japanese languages.Passing Score: 700 / 1000Languages: English, Japanese, Korean, and Simplified ChineseSchedule Exam: Pearson VUEAI-900: Microsoft Azure AI Fundamentals Certification Exams skill questions:Skill Measurement Exam Topics:-Describe Artificial Intelligence workloads and considerations (15-20%)Describe fundamental principles of machine learning on Azure (20-25%)Describe features of computer vision workloads on Azure (15-20%)Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Describe features of generative AI workloads on Azure (15-20%)Describe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloadsIdentify features of content moderation and personalization workloadsIdentify computer vision workloadsIdentify natural language processing workloadsIdentify knowledge mining workloadsIdentify document intelligence workloadsIdentify features of generative AI workloadsIdentify guiding principles for 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 solutionDescribe fundamental principles of machine learning on Azure (20-25%)Identify common machine learning techniquesIdentify regression machine learning scenariosIdentify classification machine learning scenariosIdentify clustering machine learning scenariosIdentify features of deep learning techniquesDescribe core machine learning conceptsIdentify features and labels in a dataset for machine learningDescribe how training and validation datasets are used in machine learningDescribe Azure Machine Learning capabilitiesDescribe capabilities of automated machine learningDescribe data and compute services for data science and machine learningDescribe model management and deployment capabilities in Azure Machine LearningDescribe features of computer vision workloads on Azure (15-20%)Identify common types of computer vision solutionIdentify features of image classification solutionsIdentify features of object detection solutionsIdentify features of optical character recognition solutionsIdentify features of facial detection and facial analysis solutionsIdentify Azure tools and services for computer vision tasksDescribe capabilities of the Azure AI Vision serviceDescribe capabilities of the Azure AI Face detection serviceDescribe features of Natural Language Processing (NLP) workloads on Azure (15-20%)Identify features of common NLP Workload ScenariosIdentify features and uses for key phrase extractionIdentify features and uses for entity recognitionIdentify features and uses for sentiment analysisIdentify features and uses for language modelingIdentify features and uses for speech recognition and synthesisIdentify features and uses for translationIdentify Azure tools and services for NLP workloadsDescribe capabilities of the Azure AI Language serviceDescribe capabilities of the Azure AI Speech serviceDescribe features of generative AI workloads on Azure (15-20%)Identify features of generative AI solutionsIdentify features of generative AI modelsIdentify common scenarios for generative AIIdentify responsible AI considerations for generative AIIdentify capabilities of Azure OpenAI ServiceDescribe natural language generation capabilities of Azure OpenAI ServiceDescribe code generation capabilities of Azure OpenAI ServiceDescribe image generation capabilities of Azure OpenAI ServiceIn conclusion, AI-900: Microsoft Azure AI Fundamentals Comprehensive is a highly valuable course for individuals looking to enhance their knowledge and skills in AI technology. With its Practice Exam feature, comprehensive curriculum, and interactive learning materials, this course provides a comprehensive and engaging learning experience for students of all levels. Whether you are a seasoned professional or a beginner in the field of AI, this course will equip you with the knowledge and skills you need to succeed in the fast-paced world of artificial intelligence.

Skills

Reviews