Study guide will help you to understand what to expect on the exam || Complete AI 900 Course
What you'll learn
Understanding of concepts of AI-900: Microsoft Azure AI Fundamentals
Video course of AI 900 Microsoft Azure AI Fundamentals
Covers all the topics of AI-900: Microsoft Azure AI Fundamentals as per 2024 syllabus
Study guide will help you to understand what to expect on the exam
Requirements
Intended for both technical and non-technical backgrounds.
Data science and software engineering experience are not required.
Description
The course is designed as per Skill area as of April 24, 2024. This course completely covers the AI-900 exam from start to finish. Always updated with the latest requirements. This study guide will help you understand what to expect on the exam. The information in this video course should help you focus your studies as you prepare for the exam. This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:· Basic cloud concepts· Client-server applicationsMicrosoft Azure is still the fastest-growing large cloud platform. The opportunities for jobs in cloud computing are still out there, and finding well-qualified people is the problem that businesses have.Earning a Microsoft Certification is global evidence of real-world skills. A Microsoft Certification showcases your commitment to keeping pace with rapidly changing technology and positions you for increased skills, efficiency, and earning potential in your professional roles.35% of technical professionals say getting certified led to increased income and 26% percent reported promotions.Exam DetailsExam Name: AI-900: Microsoft Azure AI FundamentalsNumber of Questions in AI 900 Microsoft Certification Exam: 35 to 55Exam Duration: 60 minsAI 900 Certification Passing Score: 700 points out from 1000The number of questions on azure artificial intelligence certification exam is subject to change as Microsoft make updates to ensure it aligns with latest changes in the technology that fits the job role.AI 900 Certification Exam Fees: $99 USD* Price based on the country or region in which the exam is proctored.The course is designed as per Skill area as of April 24, 2024. This course completely covers the AI-900 exam from start to finish. Always updated with the latest requirementsAI 900: Microsoft Azure AI Fundamentals Exam SyllabusComplete exam syllabus is given over here. That is, what are topics that will be covered in below sections.1) Describe Artificial Intelligence workloads and considerations (15–20%)2) Describe fundamental principles of machine learning on Azure (20–25%)3) Describe features of computer vision workloads on Azure (15–20%)4) Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)5) Describe features of generative AI workloads on Azure (15–20%)1) Describe Artificial Intelligence workloads and considerations (15–20%)Identify features of common AI workloadsIdentify features of data monitoring and anomaly detection workloads, content moderation and personalization workloads, generative AI workloads.Identify computer vision workloads, natural language processing workloads, knowledge mining workloads, document intelligence workloads.Identify guiding principles for responsible AIDescribe considerations for fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability in an AI solution.2) Describe fundamental principles of machine learning on Azure (20–25%)Identify common machine learning techniquesIdentify regression, classification, clustering machine learning scenarios.Identify features of deep learning techniques.Describe core machine learning conceptsIdentify features and labels in a dataset for machine learning.Describe how training and validation datasets are used in machine learning.Describe Azure Machine Learning capabilitiesDescribe capabilities of Automated machine learning.Describe data and compute services for data science and machine learning.Describe model management and deployment capabilities in Azure Machine Learning.3) Describe features of computer vision workloads on Azure (15–20%)Identify common types of computer vision solutionIdentify features of image classification, object detection, optical character recognition (OCR), facial detection and facial analysis solutions.Identify Azure tools and services for computer vision tasksDescribe capabilities of the Azure AI Vision service, Face detection service, Video Indexer service.4) Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)Identify features of common NLP Workload ScenariosIdentify features and uses for key phrase extraction, entity recognition, sentiment analysis, language modelling, speech recognition and synthesis and identify features and uses for translation.Identify Azure tools and services for NLP workloadsDescribe capabilities of the Azure AI Language service, Speech service, Translator service.5) Describe features of generative AI workloads on Azure (15–20%)Identify features of generative AI solutionsIdentify features of generative AI models, common scenarios for generative AI and identify responsible AI considerations for generative AI.Identify capabilities of Azure OpenAI ServiceDescribe natural language generation capabilities of Azure OpenAI Service.Describe code generation capabilities of Azure OpenAI Service.Describe image generation capabilities of Azure OpenAI Service.BEST VALUE FOR MONEY: When investing in these tests you get lifetime access to all sets of AI 900 practice exam tests.MOBILE ACCESS: Study on the go and access all practice questions from your mobile phone - anywhere, anytime.MONEY-BACK GUARANTEE: This certification comes with money back guarantee if you're not satisfied with the content. 30-day money back guarantee - no questions asked.LIFETIME ACCESS: You will get lifetime access to the this latest question bank.Disclaimer: I Study Institutes not related to, affiliated with, endorsed or authorized by Microsoft. 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Who this course is for
Candidates with non-technical or technical backgrounds who are interested in learning about AI.

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