Getting ready for the AI-102 Exam: Microsoft Azure AI Engineer? Boost your career without the stress! Dive into these three practice tests, each with 33 questions, handpicked by our top Udemy teacher and Azure expert, Scott Duffy. They're designed to give you the confidence and knowledge you need to rock that exam.
Our practice tests cover every topic you'll find on the exam. Think of it as a "sneak peek" into the real test. And guess what? We've made sure our tests are up-to-date with the latest exam details as of October 31, 2023. So, you can trust that you're getting the freshest prep materials.
(Of course, do not expect the actual exam questions on this practice set. That is against Microsoft's Terms, and we don't recommend studying like that.)
Prepare yourself for the actual exam with three timed tests. They'll help you see where you shine and where you might need a little more study time. It's like a dress rehearsal for the big day! And with our tests, we're sure you'll not only pass but also ace the AI-102 exam, unlocking your best self.
Plus, we believe in what we offer. If our practice tests don't match up to what you expected, there's a 30-day money-back guarantee in line with Udemy's rules. Your investment in your future is secure with us.
Don't let the AI-102 exam slow down your career goals. Dive into our practice tests and build solid confidence in your skills. Trust in Scott Duffy's expertise and our promise to help you succeed. Start your journey to mastering Azure today!
The English language version of this exam was updated on October 31, 2023. This practice test covers the following topics and areas.
Plan and manage an Azure AI solution (15–20%)
Implement decision support solutions (10–15%)
Implement computer vision solutions (15–20%)
Implement natural language processing solutions (30–35%)
Implement knowledge mining and document intelligence solutions (10–15%)
Implement generative AI solutions (10–15%)
Getting ready for the AI-102 Exam: Microsoft Azure AI Engineer? Boost your career without the stress! Dive into these three practice tests, each with 33 questions, handpicked by our top Udemy teacher and Azure expert, Scott Duffy. They're designed to give you the confidence and knowledge you need to rock that exam.
Our practice tests cover every topic you'll find on the exam. Think of it as a "sneak peek" into the real test. And guess what? We've made sure our tests are up-to-date with the latest exam details as of October 31, 2023. So, you can trust that you're getting the freshest prep materials.
(Of course, do not expect the actual exam questions on this practice set. That is against Microsoft's Terms, and we don't recommend studying like that.)
Prepare yourself for the actual exam with three timed tests. They'll help you see where you shine and where you might need a little more study time. It's like a dress rehearsal for the big day! And with our tests, we're sure you'll not only pass but also ace the AI-102 exam, unlocking your best self.
Plus, we believe in what we offer. If our practice tests don't match up to what you expected, there's a 30-day money-back guarantee in line with Udemy's rules. Your investment in your future is secure with us.
Don't let the AI-102 exam slow down your career goals. Dive into our practice tests and build solid confidence in your skills. Trust in Scott Duffy's expertise and our promise to help you succeed. Start your journey to mastering Azure today!
The English language version of this exam was updated on October 31, 2023. This practice test covers the following topics and areas.
Plan and manage an Azure AI solution (15–20%)
Implement decision support solutions (10–15%)
Implement computer vision solutions (15–20%)
Implement natural language processing solutions (30–35%)
Implement knowledge mining and document intelligence solutions (10–15%)
Implement generative AI solutions (10–15%)
La certification AI-900 est une certification de niveau fondamental vous permettant d'acquérir les bases indispensables pour maîtriser l'environnement d'Intelligence Artificielle de Microsoft Azure
La certification est basée sur 4 thématiques principales :
Une description complète des charges de travail et des considérations liées à l’Intelligence Artificielle
Une description détaillée des principes fondamentaux du Machine Learning sur Azure
Une description des caractéristiques des charges de travail de la vision par ordinateur sur Azure
Et enfin une description des charges de travail de traitement du langage naturel (NLP) sur Azure
Cette certification est à la portée de tout le monde et ne nécessite aucun prérequis ni de connaissances techniques particulières
Avec cette certification vous allez pouvoir valoriser votre connaissance approfondie de l'écosystème d'Intelligence Artificielle de Microsoft Azure et être en mesure d'apporter une plus-value à votre entreprise et de booster votre carrière
Ma formation respecte à 100% le programme officiel de Microsoft
J'ai choisi d'ajouter systématiquement à ce programme, une partie pratique pour chaque concept abordé
Vous aurez ainsi la possibilité de voir directement comment mettre en œuvre les concepts que vous allez apprendre
Vous trouverez à la fin de chaque thématique principale , une série de 10 questions de niveau certification AI-900, vous permettant de vous tester, soit 40 questions pour cette formation
La certification AI-900 est une certification de niveau fondamental vous permettant d'acquérir les bases indispensables pour maîtriser l'environnement d'Intelligence Artificielle de Microsoft Azure
La certification est basée sur 4 thématiques principales :
Une description complète des charges de travail et des considérations liées à l’Intelligence Artificielle
Une description détaillée des principes fondamentaux du Machine Learning sur Azure
Une description des caractéristiques des charges de travail de la vision par ordinateur sur Azure
Et enfin une description des charges de travail de traitement du langage naturel (NLP) sur Azure
Cette certification est à la portée de tout le monde et ne nécessite aucun prérequis ni de connaissances techniques particulières
Avec cette certification vous allez pouvoir valoriser votre connaissance approfondie de l'écosystème d'Intelligence Artificielle de Microsoft Azure et être en mesure d'apporter une plus-value à votre entreprise et de booster votre carrière
Ma formation respecte à 100% le programme officiel de Microsoft
J'ai choisi d'ajouter systématiquement à ce programme, une partie pratique pour chaque concept abordé
Vous aurez ainsi la possibilité de voir directement comment mettre en œuvre les concepts que vous allez apprendre
Vous trouverez à la fin de chaque thématique principale , une série de 10 questions de niveau certification AI-900, vous permettant de vous tester, soit 40 questions pour cette formation
Are you aiming to get certified in AI and Azure but don't know where to start? Look no further.
This course offers 5 distinct mock exams, each with 40 unique questions that span across essential topics—from machine learning fundamentals to responsible AI considerations. Designed by experts, these tests not only prepare you for the real exam but also provide detailed explanations for each answer to ensure you understand the 'why' behind them. Gain the confidence and knowledge you need to pass your certification exam on the first try!
Artificial Intelligence Workloads: Understand the characteristics and requirements of common AI and anomaly detection workloads.
Machine Learning Fundamentals: Dive deep into machine learning types like regression, classification, and clustering, and grasp core concepts such as features and labels.
Computer Vision: Get familiar with image classification, object detection, and optical character recognition solutions.
Natural Language Processing (NLP): Master key topics like key phrase extraction, entity recognition, sentiment analysis, and language modeling.
Responsible AI: Learn the guiding principles for responsible AI, including considerations for fairness, reliability, safety, privacy, and inclusiveness.
Unlock your full potential in AI and Azure technologies. Enroll today to start your journey towards a rewarding career and ace the AI-900 certification exam with confidence and ease!
Are you aiming to get certified in AI and Azure but don't know where to start? Look no further.
This course offers 5 distinct mock exams, each with 40 unique questions that span across essential topics—from machine learning fundamentals to responsible AI considerations. Designed by experts, these tests not only prepare you for the real exam but also provide detailed explanations for each answer to ensure you understand the 'why' behind them. Gain the confidence and knowledge you need to pass your certification exam on the first try!
Artificial Intelligence Workloads: Understand the characteristics and requirements of common AI and anomaly detection workloads.
Machine Learning Fundamentals: Dive deep into machine learning types like regression, classification, and clustering, and grasp core concepts such as features and labels.
Computer Vision: Get familiar with image classification, object detection, and optical character recognition solutions.
Natural Language Processing (NLP): Master key topics like key phrase extraction, entity recognition, sentiment analysis, and language modeling.
Responsible AI: Learn the guiding principles for responsible AI, including considerations for fairness, reliability, safety, privacy, and inclusiveness.
Unlock your full potential in AI and Azure technologies. Enroll today to start your journey towards a rewarding career and ace the AI-900 certification exam with confidence and ease!
1Z0-1122-23 | Oracle Cloud Infrastructure 2023 AI Foundations Associate
Job Roles: Cloud Beginners, Solution Architect, Developer, DevOps Engineer, Security Engineer/Architect, Sys Admin, Cloud Engineer, Data Engineer, Data Scientist/ML Engineer
This learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML).
In this learning path, you will learn to:
Common AI terminology, including machine learning, deep learning, data science, neural networks etc
OCI AI services and AI infrastructure
Generative AI basics including LLM, GAN, and Transformers
AI and ML best practices
In addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML). Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more.
You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development. This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics.
Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers. You will learn how these techniques are used in various applications, such as image synthesis and text generation.
Throughout the learning path, you will also gain insights into AI and ML best practices. This includes understanding how to approach data preparation, model training, and evaluation. You will also explore considerations for deploying and scaling AI and ML solutions in production environments.
By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices. This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect.
1Z0-1122-23 | Oracle Cloud Infrastructure 2023 AI Foundations Associate
Job Roles: Cloud Beginners, Solution Architect, Developer, DevOps Engineer, Security Engineer/Architect, Sys Admin, Cloud Engineer, Data Engineer, Data Scientist/ML Engineer
This learning path is designed for individuals who want to gain a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML).
In this learning path, you will learn to:
Common AI terminology, including machine learning, deep learning, data science, neural networks etc
OCI AI services and AI infrastructure
Generative AI basics including LLM, GAN, and Transformers
AI and ML best practices
In addition to the job roles mentioned, this learning path is designed to provide individuals with a fundamental knowledge of Artificial Intelligence (AI) and Machine Learning (ML). Throughout this learning path, you will gain an understanding of common AI terminology, including machine learning, deep learning, data science, neural networks, and more.
You will also explore the Oracle Cloud Infrastructure (OCI) AI services and AI infrastructure, which will enable you to leverage cloud-based tools and resources for AI and ML development. This includes understanding how to utilize OCI AI services for tasks such as image recognition, natural language processing, and predictive analytics.
Furthermore, this learning path covers the basics of generative AI, including concepts such as Language Models (LLMs), Generative Adversarial Networks (GANs), and Transformers. You will learn how these techniques are used in various applications, such as image synthesis and text generation.
Throughout the learning path, you will also gain insights into AI and ML best practices. This includes understanding how to approach data preparation, model training, and evaluation. You will also explore considerations for deploying and scaling AI and ML solutions in production environments.
By completing this learning path, you will have a solid foundation in AI and ML concepts, as well as practical skills in utilizing cloud-based AI services, generative AI techniques, and implementing AI and ML best practices. This knowledge will enable you to pursue various roles in the AI and ML domain, such as data engineer, data scientist, machine learning engineer, or AI solution architect.
Monthly Updates - The tests are updated very frequently at least once every month to stay up to date with the new changes to the exam. This course consists of 4 Practice tests, each test has 45 questions, you will have 45 min to finish each test, you can pause or stop the test at any time. At the end you will be able to review your answers and see the explanation provided.
Preparing for Microsoft Azure AI Fundamentals - AI-900? This is the practice exams course to give you the winning edge.
The tone and tenor of the questions mimic the real exam. Along with the detailed description provided within the explanations, I have also extensively referenced Microsoft documentation to get you up to speed on all domain areas being tested for the AI-900 exam.
All questions have been written with detailed explanation and reference links! And more questions are being added over time!
Best practice exams to help you prepare for your Microsoft Azure AI Fundamentals - AI-900 exam.
You can retake the exams as many times as you want
This is a huge original question bank
You get support from instructors if you have questions
Each question has a detailed explanation for correct and incorrect options, along with Microsoft learn link.
Mobile-compatible with the Udemy app
About the real AI-900 exam
Most Microsoft Certification exams typically contain between 40-60 questions; however, the number can vary depending on the exam.
Exam duration-45minutes; Seated duration-65 minutes.
This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Candidates for this exam should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.
This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.
AI-900 certification exam has four categories:
Describe Artificial Intelligence workloads and considerations (20-25%)
Describe fundamental principles of machine learning on Azure (25-30%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)
Question types are single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down and True/False.
You will require to score 700 points out from 1000
The Good part is, there is no negative marking for wrong answers.
Happy learning and best of luck for your Microsoft Azure AI Fundamentals - AI-900 exam!
Monthly Updates - The tests are updated very frequently at least once every month to stay up to date with the new changes to the exam. This course consists of 4 Practice tests, each test has 45 questions, you will have 45 min to finish each test, you can pause or stop the test at any time. At the end you will be able to review your answers and see the explanation provided.
Preparing for Microsoft Azure AI Fundamentals - AI-900? This is the practice exams course to give you the winning edge.
The tone and tenor of the questions mimic the real exam. Along with the detailed description provided within the explanations, I have also extensively referenced Microsoft documentation to get you up to speed on all domain areas being tested for the AI-900 exam.
All questions have been written with detailed explanation and reference links! And more questions are being added over time!
Best practice exams to help you prepare for your Microsoft Azure AI Fundamentals - AI-900 exam.
You can retake the exams as many times as you want
This is a huge original question bank
You get support from instructors if you have questions
Each question has a detailed explanation for correct and incorrect options, along with Microsoft learn link.
Mobile-compatible with the Udemy app
About the real AI-900 exam
Most Microsoft Certification exams typically contain between 40-60 questions; however, the number can vary depending on the exam.
Exam duration-45minutes; Seated duration-65 minutes.
This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Candidates for this exam should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.
This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.
AI-900 certification exam has four categories:
Describe Artificial Intelligence workloads and considerations (20-25%)
Describe fundamental principles of machine learning on Azure (25-30%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (25-30%)
Question types are single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down and True/False.
You will require to score 700 points out from 1000
The Good part is, there is no negative marking for wrong answers.
Happy learning and best of luck for your Microsoft Azure AI Fundamentals - AI-900 exam!